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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

A Langevin-like Sampler for Discrete Distributions ICML 2022
Structured Stochastic Gradient MCMC ICML 2022
Few-Shot Fast-Adaptive Anomaly Detection NIPS 2022
Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss NIPS 2022
QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning AISTATS 2022
DPGEN: Differentially Private Generative Energy-Guided Network for Natural Image Synthesis CVPR 2022
Efficient Sampling on Riemannian Manifolds via Langevin MCMC NIPS 2022
Natural gradient enables fast sampling in spiking neural networks NIPS 2022
Efficient constrained sampling via the mirror-Langevin algorithm NIPS 2021
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction NIPS 2021
Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler AAAI 2021
Random Coordinate Langevin Monte Carlo COLT 2021
Instance-Optimal Compressed Sensing via Posterior Sampling ICML 2021
Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction CVPR 2021
Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm COLT 2021
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation AAAI 2021
Score-based Generative Neural Networks for Large-Scale Optimal Transport NIPS 2021
SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method IJCAI 2021
Federated stochastic gradient Langevin dynamics UAI 2021
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics ICML 2021
Generative Text Modeling through Short Run Inference EACL 2021
Replica Exchange for Non-Convex Optimization JMLR 2021
Learning Gradient Fields for Molecular Conformation Generation ICML 2021
Implicit Langevin Algorithms for Sampling From Log-concave Densities JMLR 2021
Langevin Dynamics for Adaptive Inverse Reinforcement Learning of Stochastic Gradient Algorithms JMLR 2021