Publications

Preprints

A Primal-Dual Algorithm for Faster Distributionally Robust Optimization
Ronak Mehta, Jelena Diakonikolas, Zaid Harchaoui
Under review.
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Conferences

Distributionally Robust Optimization with Bias and Variance Reduction
Ronak Mehta, Vincent Roulet, Krishna Pillutla, Zaid Harchaoui
ICLR, 2024 (Spotlight: top 5% of submissions).
PDF   Code   Poster

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

Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks
Adam Li, Ronan Perry, Chester Huynh, Tyler M. Tomita, Ronak Mehta, Jesus Arroyo, Jesse Patsolic, Ben Falk, Sridevi Sarma, and Joshua Vogelstein
SIAM Jour. Mathematics of Data Science, 2023..
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Workshops

GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series Forecasting
Sitan Yang, Malcolm Wolff, Shankar Ramasubramanian, Vincent Quenneville-Belair, Ronak Mehta, Michael W. Mahoney
KDD Mining and Learning with Graphs, 2023.
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