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Ronak Mehta

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Distributionally Robust Optimization with Bias and Variance Reduction

Oct 21, 2023
Ronak Mehta, Vincent Roulet, Krishna Pillutla, Zaid Harchaoui

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Stochastic Optimization for Spectral Risk Measures

Dec 10, 2022
Ronak Mehta, Vincent Roulet, Krishna Pillutla, Lang Liu, Zaid Harchaoui

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Deep Unlearning via Randomized Conditionally Independent Hessians

Apr 15, 2022
Ronak Mehta, Sourav Pal, Vikas Singh, Sathya N. Ravi

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Towards a theory of out-of-distribution learning

Oct 07, 2021
Ali Geisa, Ronak Mehta, Hayden S. Helm, Jayanta Dey, Eric Eaton, Jeffery Dick, Carey E. Priebe, Joshua T. Vogelstein

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DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer

Aug 21, 2019
Haoliang Sun, Ronak Mehta, Hao H. Zhou, Zhichun Huang, Sterling C. Johnson, Vivek Prabhakaran, Vikas Singh

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A Consistent Independence Test for Multivariate Time-Series

Aug 18, 2019
Ronak Mehta, Cencheng Shen, Ting Xu, Joghua T. Vogelstein

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Resource Constrained Neural Network Architecture Search

Apr 08, 2019
Yunyang Xiong, Ronak Mehta, Vikas Singh

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Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families

Sep 02, 2018
Seong Jae Hwang, Ronak Mehta, Hyunwoo J. Kim, Vikas Singh

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Robust Blind Deconvolution via Mirror Descent

Mar 21, 2018
Sathya N. Ravi, Ronak Mehta, Vikas Singh

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