Showing 1–20 of 22 results
/ Date/ Name
Sep 3, 2025Graph Random Features for Scalable Gaussian ProcessesJun 29, 2025Shifted Composition IV: Toward Ballistic Acceleration for Log-Concave SamplingJan 15, 2026Sharp propagation of chaos in Rényi divergenceDec 23, 2021Analysis of Langevin Monte Carlo from Poincaré to Log-SobolevJul 7, 2021Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a ReviewFeb 16, 2023Improved Discretization Analysis for Underdamped Langevin Monte CarloFeb 10, 2022Towards a Theory of Non-Log-Concave Sampling: First-Order Stationarity Guarantees for Langevin Monte CarloJul 17, 2025Analysis of Langevin midpoint methods using an anticipative Girsanov theoremNov 3, 2025Stability of the Kim--Milman flow mapOct 22, 2024Covariance estimation using Markov chain Monte CarloFeb 12, 2024Sampling from the Mean-Field Stationary DistributionNov 6, 2025Sublinear iterations can suffice even for DDPMsOct 30, 2021Convergence and Optimality of Policy Gradient Methods in Weakly Smooth SettingsMar 24, 2026Algorithmic warm starts for Hamiltonian Monte CarloSep 16, 2024Uniform-in-$N$ log-Sobolev inequality for the mean-field Langevin dynamics with convex energyJul 17, 2024Rényi-infinity constrained sampling with $d^3$ membership queriesNov 30, 2019One-Shot Pruning of Recurrent Neural Networks by Jacobian Spectrum EvaluationJul 22, 2020Convergence of Langevin Monte Carlo in Chi-Squared and Renyi DivergenceOct 6, 2025Perspectives on Stochastic LocalizationMay 2, 2024In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies