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
1542016
Last-iterate convergence rates for min-max optimization
J Abernethy, KA Lai, A Wibisono
arXiv preprint arXiv:1906.02027, 2019
202019
Faster rates for convex-concave games
J Abernethy, KA Lai, KY Levy, JK Wang
Conference On Learning Theory, 2018
162018
Label optimal regret bounds for online local learning
P Awasthi, M Charikar, KA Lai, A Risteski
Conference on Learning Theory, 150-166, 2015
152015
Differential privacy for growing databases
R Cummings, S Krehbiel, KA Lai, U Tantipongpipat
Advances in Neural Information Processing Systems, 8864-8873, 2018
132018
Amortized rotation cost in AVL trees
M Amani, KA Lai, RE Tarjan
Information Processing Letters 116 (5), 327-330, 2016
102016
Regression using Lewis Weights Preconditioning and Stochastic Gradient Descent
D Durfee, KA Lai, S Sawlani
Conference On Learning Theory, 2018
42018
Fictitious Play: Convergence, Smoothness, and Optimism
J Abernethy, KA Lai, A Wibisono
arXiv preprint arXiv:1911.08418, 2019
12019
Higher-order methods for convex-concave min-max optimization and monotone variational inequalities
B Bullins, KA Lai
arXiv preprint arXiv:2007.04528, 2020
2020
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