| 2025 | ICLR | Long-time asymptotics of noisy SVGD outside the population limit. | Victor Priser, Pascal Bianchi, Adil Salim |
| 2023 | ALT | On the complexity of finding stationary points of smooth functions in one dimension. | Sinho Chewi, Sbastien Bubeck, Adil Salim |
| 2023 | ICLR | Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions. | Sitan Chen, Sinho Chewi, Jerry Li, Yuanzhi Li, Adil Salim, Anru Zhang |
| 2023 | ICML | Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space. | Michael Ziyang Diao, Krishna Balasubramanian, Sinho Chewi, Adil Salim |
| 2022 | AISTATS | An Optimal Algorithm for Strongly Convex Minimization under Affine Constraints. | Adil Salim, Laurent Condat, Dmitry Kovalev, Peter Richtrik |
| 2022 | COLT | Towards a Theory of Non-Log-Concave Sampling: First-Order Stationarity Guarantees for Langevin Monte Carlo. | Krishna Balasubramanian, Sinho Chewi, Murat A. Erdogdu, Adil Salim, Shunshi Zhang |
| 2022 | COLT | Improved analysis for a proximal algorithm for sampling. | Yongxin Chen, Sinho Chewi, Adil Salim, Andre Wibisono |
| 2022 | ICML | A Convergence Theory for SVGD in the Population Limit under Talagrand's Inequality T1. | Adil Salim, Lukang Sun, Peter Richtrik |
| 2018 | ICASSP | A Constant Step Stochastic Douglas-Rachford Algorithm with Application to non Separable Regularizations. | Adil Salim, Pascal Bianchi, Walid Hachem |