stochastic gradient langevin dynamics

Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels NeurIPS 2021 Better Training using Weight-Constrained Stochastic Dynamics ICML 2021 Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo JMLR 2021 Faster Convergence of Stochastic Gradient Langevin Dynamics for Non-Log-Concave Sampling UAI 2021 Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD NeurIPS 2021 Time-independent Generalization Bounds for SGLD in Non-convex Settings NeurIPS 2021 Accelerating the diffusion-based ensemble sampling by non-reversible dynamics ICML 2020 A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions NeurIPS 2020 Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes NeurIPS 2020 Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics AAAI 2020 Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs ICML 2020 On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning ICLR 2020 On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics JMLR 2020 A Bayesian Perspective on the Deep Image Prior CVPR 2019 Analysis of Langevin Monte Carlo via Convex Optimization JMLR 2019 Bayesian Learning for Neural Dependency Parsing NAACL 2019 Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates NeurIPS 2019 Online sampling from log-concave distributions NeurIPS 2019 Adversarial Distillation of Bayesian Neural Network Posteriors ICML 2018 Convex Optimization with Unbounded Nonconvex Oracles using Simulated Annealing COLT 2018 Data-dependent PAC-Bayes priors via differential privacy NeurIPS 2018 Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors ICML 2018 Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints COLT 2018 The promises and pitfalls of Stochastic Gradient Langevin Dynamics NeurIPS 2018 A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics COLT 2017