Variance Reduction for Matrix Games Y Carmon, Y Jin, A Sidford, K Tian
Advances in Neural Information Processing Systems, 2019, 2019
85 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
76 2019 Structured Logconcave Sampling with a Restricted Gaussian Oracle YT Lee, R Shen, K Tian
Conference on Learning Theory, 2021, 2020
75 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
56 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
56 2018 Logsmooth Gradient Concentration and Tighter Runtimes for Metropolized Hamiltonian Monte Carlo YT Lee, R Shen, K Tian
Conference on Learning Theory, 2020, 2020
55 2020 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
52 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
50 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
50 2020 Learning populations of parameters K Tian, W Kong, G Valiant
Advances in Neural Information Processing Systems, 2017, 2017
46 2017 Coordinate Methods for Accelerating 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
40 2011 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
39 2022 Coordinate Methods for Matrix Games Y Carmon, Y Jin, A Sidford, K Tian
Foundations of Computer Science (FOCS), 2020, 2020
39 2020 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
34 2021 A Rank-1 Sketch for Matrix Multiplicative Weights Y Carmon, JC Duchi, A Sidford, K Tian
Conference on Learning Theory, 2019, 2019
33 2019 CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods
Genome biology 25 (1), 53, 2024
32 2024 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
28 2022 A CS guide to the quantum singular value transformation E Tang, K Tian
2024 Symposium on Simplicity in Algorithms (SOSA), 121-143, 2024
25 2024 
Aaron SidfordStanford UniversityПідтверджена електронна адреса в stanford.edu
