| Variance Reduction for Matrix Games Y Carmon, Y Jin, A Sidford, K Tian Advances in Neural Information Processing Systems, 2019, 2019 | 81 | 2019 |
| A Direct O~(1/ε) Iteration Parallel Algorithm for Optimal Transport A Jambulapati, A Sidford, K Tian Advances in Neural Information Processing Systems, 2019, 2019 | 74 | 2019 |
| Structured Logconcave Sampling with a Restricted Gaussian Oracle YT Lee, R Shen, K Tian Conference on Learning Theory, 2021, 2020 | 64 | 2020 |
| Relative Lipschitzness in Extragradient Methods and a Direct Recipe for Acceleration MB Cohen, A Sidford, K Tian Innovations in Theoretical Computer Science (ITCS), 2021, 2021 | 54 | 2021 |
| A novel k-mer set memory (KSM) motif representation improves regulatory variant prediction Y Guo, K Tian, H Zeng, X Guo, DK Gifford Genome research 28 (6), 891-900, 2018 | 54 | 2018 |
| Predicting gene expression in massively parallel reporter assays: A comparative study A Kreimer, H Zeng, MD Edwards, Y Guo, K Tian, S Shin, R Welch, ... Human mutation 38 (9), 1240-1250, 2017 | 54 | 2017 |
| Logsmooth Gradient Concentration and Tighter Runtimes for Metropolized Hamiltonian Monte Carlo YT Lee, R Shen, K Tian Conference on Learning Theory, 2020, 2020 | 51 | 2020 |
| Acceleration with a Ball Optimization Oracle Y Carmon, A Jambulapati, Q Jiang, Y Jin, YT Lee, A Sidford, K Tian Advances in Neural Information Processing Systems, 2020, 2020 | 48 | 2020 |
| Learning populations of parameters K Tian, W Kong, G Valiant Advances in Neural Information Processing Systems, 2017, 2017 | 47 | 2017 |
| Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing A Jambulapati, J Li, K Tian Advances in Neural Information Processing Systems, 2020, 2020 | 45 | 2020 |
| Coordinate Methods for Accelerating Regression and Faster Approximate Maximum Flow A Sidford, K Tian Foundations of Computer Science (FOCS), 2018 IEEE 59th Annual Symposium on, 2018 | 45* | 2018 |
| On the power dominating sets of hypercubes N Dean, A Ilic, I Ramirez, J Shen, K Tian 2011 14th IEEE international conference on computational science and …, 2011 | 42 | 2011 |
| Coordinate Methods for Matrix Games Y Carmon, Y Jin, A Sidford, K Tian Foundations of Computer Science (FOCS), 2020, 2020 | 39 | 2020 |
| Sharper rates for separable minimax and finite sum optimization via primal-dual extragradient methods Y Jin, A Sidford, K Tian Conference on Learning Theory, 4362-4415, 2022 | 38 | 2022 |
| Semi-Streaming Bipartite Matching in Fewer Passes and Optimal Space∗ S Assadi, A Jambulapati, Y Jin, A Sidford, K Tian Proceedings of the 2022 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2022 | 36 | 2022 |
| Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions YT Lee, R Shen, K Tian Advances in Neural Information Processing Systems, 2021, 2021 | 31 | 2021 |
| A Rank-1 Sketch for Matrix Multiplicative Weights Y Carmon, JC Duchi, A Sidford, K Tian Conference on Learning Theory, 2019, 2019 | 30 | 2019 |
| Clustering mixture models in almost-linear time via list-decodable mean estimation I Diakonikolas, DM Kane, D Kongsgaard, J Li, K Tian Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing …, 2022 | 24 | 2022 |
| List-Decodable Mean Estimation in Nearly-PCA Time I Diakonikolas, DM Kane, D Kongsgaard, J Li, K Tian Advances in Neural Information Processing Systems, 2021, 2021 | 22 | 2021 |
| Robust Regression Revisited: Acceleration and Improved Estimation Rates A Jambulapati, J Li, T Schramm, K Tian Advances in Neural Information Processing Systems, 2021, 2021 | 20 | 2021 |
Aaron SidfordStanford UniversityVerified email at stanford.edu
