log-sobolev inequality

A PAC-Bayesian Link Between Generalisation and Flat Minima ALT 2025 ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression UAI 2025 Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities JMLR 2025 Non-asymptotic Error Bounds in W_2-Distance with Sqrt(d) Dimension Dependence and First Order Convergence for Langevin Monte Carlo beyond Log-Concavity ICML 2025 Optimization, Isoperimetric Inequalities, and Sampling via Lyapunov Potentials COLT 2025 Tamed Langevin sampling under weaker conditions AISTATS 2025 Fast parallel sampling under isoperimetry COLT 2024 Improved Differentially Private and Lazy Online Convex Optimization: Lower Regret without Smoothness Requirements ICML 2024 Improved Discretization Analysis for Underdamped Langevin Monte Carlo COLT 2023 Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality COLT 2023 Utilising the CLT Structure in Stochastic Gradient based Sampling : Improved Analysis and Faster Algorithms COLT 2023 A Functional Information Perspective on Model Interpretation ICML 2022 Analysis of Langevin Monte Carlo from Poincare to Log-Sobolev COLT 2022 On the Importance of Gradient Norm in PAC-Bayesian Bounds NeurIPS 2022 Mirror Langevin Monte Carlo: the Case Under Isoperimetry NeurIPS 2021 Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev NeurIPS 2020 Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies NeurIPS 2020 Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices NeurIPS 2019