Salim, Adil

17 publications

ICLR 2025 Long-Time Asymptotics of Noisy SVGD Outside the Population Limit Victor Priser, Pascal Bianchi, Adil Salim

TMLR 2024 Federated Sampling with Langevin Algorithm Under Isoperimetry Lukang Sun, Adil Salim, Peter Richtárik

ICML 2023 Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space Michael Ziyang Diao, Krishna Balasubramanian, Sinho Chewi, Adil Salim

ALT 2023 On the Complexity of Finding Stationary Points of Smooth Functions in One Dimension Sinho Chewi, Sébastien Bubeck, Adil Salim

ICLR 2023 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

NeurIPS 2023 The Probability Flow ODE Is Provably Fast Sitan Chen, Sinho Chewi, Holden Lee, Yuanzhi Li, Jianfeng Lu, Adil Salim

AISTATS 2022 An Optimal Algorithm for Strongly Convex Minimization Under Affine Constraints Adil Salim, Laurent Condat, Dmitry Kovalev, Peter Richtarik

ICML 2022 A Convergence Theory for SVGD in the Population Limit Under Talagrand’s Inequality T1 Adil Salim, Lukang Sun, Peter Richtarik

COLT 2022 Improved Analysis for a Proximal Algorithm for Sampling Yongxin Chen, Sinho Chewi, Adil Salim, Andre Wibisono

NeurIPSW 2022 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

COLT 2022 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

NeurIPS 2020 A Non-Asymptotic Analysis for Stein Variational Gradient Descent Anna Korba, Adil Salim, Michael Arbel, Giulia Luise, Arthur Gretton

NeurIPS 2020 Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization Dmitry Kovalev, Adil Salim, Peter Richtarik

NeurIPS 2020 Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm Adil Salim, Peter Richtarik

NeurIPS 2020 The Wasserstein Proximal Gradient Algorithm Adil Salim, Anna Korba, Giulia Luise

NeurIPS 2019 Maximum Mean Discrepancy Gradient Flow Michael Arbel, Anna Korba, Adil Salim, Arthur Gretton

NeurIPS 2019 Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates Adil Salim, Dmitry Kovalev, Peter Richtarik