| Agnostic estimation of mean and covariance KA Lai, AB Rao, S Vempala 2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS …, 2016 | 382 | 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 | 99* | 2021 |
| Faster rates for convex-concave games J Abernethy, KA Lai, KY Levy, JK Wang Conference On Learning Theory, 2018 | 58 | 2018 |
| Differential privacy for growing databases R Cummings, S Krehbiel, KA Lai, U Tantipongpipat NeurIPS 2018, 2018 | 52 | 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 | 37 | 2022 |
| Regression using Lewis Weights Preconditioning and Stochastic Gradient Descent 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 |
| Amortized rotation cost in AVL trees M Amani, KA Lai, RE Tarjan Information Processing Letters 116 (5), 327-330, 2016 | 14 | 2016 |
| 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 |
| 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 |
