Ronak Mehta

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Robust Optimization

Conditionally Independent

Top Venues

Publications

Ronak Mehta, Jelena Diakonikolas, Zaïd Harchaoui
A Primal-Dual Algorithm for Faster Distributionally Robust Optimization. CoRR (2024)
Ronak Mehta, Vincent Roulet, Krishna Pillutla, Zaïd Harchaoui
Distributionally Robust Optimization with Bias and Variance Reduction. ICLR (2024)
Ronak Mehta, Jeffery Kline, Vishnu Suresh Lokhande, Glenn Fung, Vikas Singh
Efficient Discrete Multi Marginal Optimal Transport Regularization. ICLR (2023)
Adam Li, Ronan Perry, Chester Huynh, Tyler M. Tomita, Ronak Mehta, Jesús Arroyo, Jesse Patsolic, Benjamin Falk, Sridevi V. Sarma, Joshua T. Vogelstein
Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks. SIAM J. Math. Data Sci. 5 (1) (2023)
Ronak Mehta, Vincent Roulet, Krishna Pillutla, Zaïd Harchaoui
Distributionally Robust Optimization with Bias and Variance Reduction. CoRR (2023)
Ronak Mehta, Sathya N. Ravi, Vikas Singh
Robustness and Convergence of Mirror Descent for Blind Deconvolution. ICASSP (2023)
Ronak Mehta, Vincent Roulet, Krishna Pillutla, Lang Liu, Zaïd Harchaoui
Stochastic Optimization for Spectral Risk Measures. AISTATS (2023)
Anita Sinha, Ronak Mehta, Veena A. Nair, Rasmus M. Birn, Vikas Singh, Vivek Prabhakaran
Investigating Functional Brain Network Abnormalities via Differential Covariance Trajectory Analysis and Scan Statistics. ISBI (2022)
Ronak Mehta, Sourav Pal, Vikas Singh, Sathya N. Ravi
Deep Unlearning via Randomized Conditionally Independent Hessians. CVPR (2022)
Ronak Mehta, Vincent Roulet, Krishna Pillutla, Lang Liu, Zaïd Harchaoui
Stochastic Optimization for Spectral Risk Measures. CoRR (2022)
Ronak Mehta, Sourav Pal, Vikas Singh, Sathya N. Ravi
Deep Unlearning via Randomized Conditionally Independent Hessians. CoRR (2022)
Yunyang Xiong, Hyunwoo J. Kim, Bhargav Tangirala, Ronak Mehta, Sterling C. Johnson, Vikas Singh
On Training Deep 3D CNN Models with Dependent Samples in Neuroimaging. IPMI (2019)
Yunyang Xiong, Ronak Mehta, Vikas Singh
Resource Constrained Neural Network Architecture Search. CoRR (2019)
Haoliang Sun, Ronak Mehta, Hao Henry Zhou, Zhichun Huang, Sterling C. Johnson, Vivek Prabhakaran, Vikas Singh
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer. ICCV (2019)
Ronak Mehta, Rudrasis Chakraborty, Vikas Singh, Yunyang Xiong
Scaling Recurrent Models via Orthogonal Approximations in Tensor Trains. ICCV (2019)
Haoliang Sun, Ronak Mehta, Hao Henry Zhou, Zhichun Huang, Sterling C. Johnson, Vivek Prabhakaran, Vikas Singh
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer. CoRR (2019)
Yunyang Xiong, Ronak Mehta, Vikas Singh
Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help? ICCV (2019)
Seong Jae Hwang, Ronak Mehta, Hyunwoo J. Kim, Sterling C. Johnson, Vikas Singh
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging. UAI (2019)
Seong Jae Hwang, Ronak Mehta, Vikas Singh
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families. CoRR (2018)
Sathya N. Ravi, Ronak Mehta, Vikas Singh
Robust Blind Deconvolution via Mirror Descent. CoRR (2018)
Ronak Mehta, Hyunwoo J. Kim, Shulei Wang, Sterling C. Johnson, Ming Yuan, Vikas Singh
Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective. CoRR (2017)