| 2025 | ICML | A Generalization Theory for Zero-Shot Prediction. | Ronak Mehta, Zad Harchaoui |
| 2024 | ICLR | Distributionally Robust Optimization with Bias and Variance Reduction. | Ronak Mehta, Vincent Roulet, Krishna Pillutla, Zad Harchaoui |
| 2023 | AISTATS | Stochastic Optimization for Spectral Risk Measures. | Ronak Mehta, Vincent Roulet, Krishna Pillutla, Lang Liu, Zad Harchaoui |
| 2023 | ICASSP | Robustness and Convergence of Mirror Descent for Blind Deconvolution. | Ronak Mehta, Sathya N. Ravi, Vikas Singh |
| 2023 | ICLR | Efficient Discrete Multi Marginal Optimal Transport Regularization. | Ronak Mehta, Jeffery Kline, Vishnu Suresh Lokhande, Glenn Fung, Vikas Singh |
| 2022 | CVPR | Deep Unlearning via Randomized Conditionally Independent Hessians. | Ronak Mehta, Sourav Pal, Vikas Singh, Sathya N. Ravi |
| 2019 | ICCV | Scaling Recurrent Models via Orthogonal Approximations in Tensor Trains. | Ronak Mehta, Rudrasis Chakraborty, Vikas Singh, Yunyang Xiong |
| 2019 | ICCV | DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer. | Haoliang Sun, Ronak Mehta, Hao Henry Zhou, Zhichun Huang, Sterling C. Johnson, Vivek Prabhakaran, Vikas Singh |
| 2019 | ICCV | Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help? | Yunyang Xiong, Ronak Mehta, Vikas Singh |
| 2019 | UAI | Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging. | Seong Jae Hwang, Ronak Mehta, Hyunwoo J. Kim, Sterling C. Johnson, Vikas Singh |