Agnostic estimation of mean and covariance KA Lai, AB Rao, S Vempala
2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS …, 2016
368 2016 Last-iterate convergence rates for min-max optimization: Convergence of hamiltonian gradient descent and consensus optimization J Abernethy, KA Lai, A Wibisono
Algorithmic Learning Theory, 3-47, 2021
95 * 2021 Faster rates for convex-concave games J Abernethy, KA Lai, KY Levy, JK Wang
Conference On Learning Theory, 2018
55 2018 Differential privacy for growing databases R Cummings, S Krehbiel, KA Lai, U Tantipongpipat
NeurIPS 2018, 2018
51 2018 Higher-order methods for convex-concave min-max optimization and monotone variational inequalities B Bullins, KA Lai
SIAM Journal on Optimization 32 (3), 2208-2229, 2022
34 2022 D Durfee, KA Lai, S Sawlani
Conference On Learning Theory, 2018
19 2018 Label optimal regret bounds for online local learning P Awasthi, M Charikar, KA Lai, A Risteski
Conference on Learning Theory, 150-166, 2015
16 2015 Fast convergence of fictitious play for diagonal payoff matrices J Abernethy, KA Lai, A Wibisono
Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA …, 2021
12 * 2021 Amortized rotation cost in AVL trees M Amani, KA Lai, RE Tarjan
Information Processing Letters 116 (5), 327-330, 2016
12 2016 Convergence in min-max optimization KA Lai
Georgia Institute of Technology, 2020
2020 Label Optimal Regret Bounds for Online Local Learning KA Lai
Princeton University, 2015
2015 