Jiaming Xu

Associate Professor of Business Administration

Jiaming Xu is an Associate Professor in the Decision Sciences area.  His research focus is on the intersection of computation and statistics. Professor Xu seeks to understand the deep interplay between statistical optimality and computational complexity in high-dimensional statistical inference problems. He has been working on sharp performance analysis of semidefinite programming relaxations and belief propagation for community detection. Professor Xu teaches Decision Analytics and Modeling.

Appointments and Affiliations

  • Associate Professor of Business Administration

Contact Information

Education

  • B.S.E. Tsinghua University (China), 2009
  • M.S. University of Texas Austin, 2011
  • Ph.D. University of Illinois, Urbana-Champaign, 2014

Research Interests

Network science, machine learning, high-dimensional statistical inference, information theory, optimization, stochastic systems, game theory, communications and networking

Courses Taught

  • BA 990: Selected Topics in Business
  • BA 996: Curricular Practical Training
  • DECISION 546Q: Modern Analytics
  • DECISION 611: Decision Models
  • DECISION 611W: Decision Models
  • ECE 590: Advanced Topics in Electrical and Computer Engineering

In the News

Representative Publications

  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.
  • Lufkin, Leon, Yihong Wu, and Jiaming Xu. “Sharp Information-Theoretic Thresholds for Shuffled Linear Regression,” February 14, 2024.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1511–65. https://doi.org/10.1007/s10208-022-09570-y.
  • Fan, Z., C. Mao, Y. Wu, and J. Xu. “Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.” Foundations of Computational Mathematics 23, no. 5 (October 1, 2023): 1567–1617. https://doi.org/10.1007/s10208-022-09575-7.
  • Xu, J., K. Xu, and D. Yang. “Learner-Private Convex Optimization.” In IEEE Transactions on Information Theory, 69:528–47, 2023. https://doi.org/10.1109/TIT.2022.3203989.
  • Mao, Cheng, Yihong Wu, Jiaming Xu, and Sophie H. Yu. “Random graph matching at Otter's threshold via counting chandeliers,” September 25, 2022.