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langevin dynamics

128 papers

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Also known as

LMC LD LA ULA

Co-occurring keywords

markov chain monte carlo (724) stochastic gradient (296) bayesian inference (1904) energy-based model (248) posterior sampling (152) generative model (2889) variational inference (2069) stochastic gradient descent (1088) sampling algorithm (130) wasserstein distance (417)

Papers

Overcoming Catastrophic Forgetting by Bayesian Generative Regularization ICML 2021
Robust Compressed Sensing MRI with Deep Generative Priors NIPS 2021
Mirror Langevin Monte Carlo: the Case Under Isoperimetry NIPS 2021
Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections ICML 2021
SNIPS: Solving Noisy Inverse Problems Stochastically NIPS 2021
Estimating High Order Gradients of the Data Distribution by Denoising NIPS 2021
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs ICML 2021
Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise ICML 2020
Posterior sampling strategies based on discretized stochastic differential equations for machine learning applications JMLR 2020
Source Separation with Deep Generative Priors ICML 2020
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models AAAI 2020
Stochastic Approximate Gradient Descent via the Langevin Algorithm AAAI 2020
Generalization bound of globally optimal non-convex neural network training: Transportation map estimation by infinite dimensional Langevin dynamics NIPS 2020
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms NIPS 2020
Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics ICML 2020
Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm NIPS 2020
Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance AAAI 2020
Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC NIPS 2020
Breaking Reversibility Accelerates Langevin Dynamics for Non-Convex Optimization NIPS 2020
Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling NIPS 2020
Stein Self-Repulsive Dynamics: Benefits From Past Samples NIPS 2020
On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method NIPS 2020
Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev NIPS 2020
Aggregated Gradient Langevin Dynamics AAAI 2020
Stochastic Normalizing Flows NIPS 2020