Follow
Kevin A. Lai
Kevin A. Lai
Verified email at gatech.edu - Homepage
Title
Cited by
Cited by
Year
Agnostic estimation of mean and covariance
KA Lai, AB Rao, S Vempala
2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS …, 2016
3452016
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
512018
Differential privacy for growing databases
R Cummings, S Krehbiel, KA Lai, U Tantipongpipat
NeurIPS 2018, 2018
452018
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
252022
Regression using Lewis Weights Preconditioning and Stochastic Gradient Descent
D Durfee, KA Lai, S Sawlani
Conference On Learning Theory, 2018
172018
Label optimal regret bounds for online local learning
P Awasthi, M Charikar, KA Lai, A Risteski
Conference on Learning Theory, 150-166, 2015
152015
Amortized rotation cost in AVL trees
M Amani, KA Lai, RE Tarjan
Information Processing Letters 116 (5), 327-330, 2016
112016
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
8*2021
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
The system can't perform the operation now. Try again later.
Articles 1–11