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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
2902016
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
72*2021
Faster rates for convex-concave games
J Abernethy, KA Lai, KY Levy, JK Wang
Conference On Learning Theory, 2018
412018
Differential privacy for growing databases
R Cummings, S Krehbiel, KA Lai, U Tantipongpipat
NeurIPS 2018, 2018
312018
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
142022
Label optimal regret bounds for online local learning
P Awasthi, M Charikar, KA Lai, A Risteski
Conference on Learning Theory, 150-166, 2015
142015
Regression using Lewis Weights Preconditioning and Stochastic Gradient Descent
D Durfee, KA Lai, S Sawlani
Conference On Learning Theory, 2018
132018
Amortized rotation cost in AVL trees
M Amani, KA Lai, RE Tarjan
Information Processing Letters 116 (5), 327-330, 2016
102016
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
2*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
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Articles 1–11