Mehta, Ronak

9 publications

ICML 2025 A Generalization Theory for Zero-Shot Prediction Ronak Mehta, Zaid Harchaoui

NeurIPS 2025 Stochastic Gradients Under Nuisances Facheng Yu, Ronak Mehta, Alex Luedtke, Zaid Harchaoui

ICLR 2024 Distributionally Robust Optimization with Bias and Variance Reduction Ronak Mehta, Vincent Roulet, Krishna Pillutla, Zaid Harchaoui

NeurIPS 2024 Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization Ronak Mehta, Jelena Diakonikolas, Zaid Harchaoui

TMLR 2024 Independence Testing for Temporal Data Cencheng Shen, Jaewon Chung, Ronak Mehta, Ting Xu, Joshua T Vogelstein

NeurIPS 2024 The Benefits of Balance: From Information Projections to Variance Reduction Lang Liu, Ronak Mehta, Soumik Pal, Zaid Harchaoui

ICLR 2023 Efficient Discrete Multi Marginal Optimal Transport Regularization Ronak Mehta, Jeffery Kline, Vishnu Suresh Lokhande, Glenn Fung, Vikas Singh

AISTATS 2023 Stochastic Optimization for Spectral Risk Measures Ronak Mehta, Vincent Roulet, Krishna Pillutla, Lang Liu, Zaid Harchaoui

CVPR 2022 Deep Unlearning via Randomized Conditionally Independent Hessians Ronak Mehta, Sourav Pal, Vikas Singh, Sathya N. Ravi