| On Learning Ising Models under Huber's Contamination Model A Prasad, V Srinivasan, S Balakrishnan, P Ravikumar Advances in Neural Information Processing Systems 33, 2020 | 18 | 2020 |
| ADINE an adaptive momentum method for stochastic gradient descent V Srinivasan, AR Sankar, VN Balasubramanian Proceedings of the ACM india joint international conference on data science …, 2018 | 15 | 2018 |
| Sample efficient reinforcement learning in continuous state spaces: A perspective beyond linearity D Malik, A Pacchiano, V Srinivasan, Y Li International Conference on Machine Learning, 7412-7422, 2021 | 10 | 2021 |
| Subseasonal climate prediction in the western us using bayesian spatial models V Srinivasan, J Khim, A Banerjee, P Ravikumar Uncertainty in artificial intelligence, 961-970, 2021 | 8 | 2021 |
| Sufficient conditions for non-asymptotic convergence of Riemannian optimisation methods V Srinivasan, A Wilson arXiv preprint arXiv:2212.05972, 2022 | 1 | 2022 |
| Fast sampling from constrained spaces using the Metropolis-adjusted Mirror Langevin Algorithm V Srinivasan, A Wibisono, A Wilson arXiv preprint arXiv:2312.08823, 2023 | | 2023 |
