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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

Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning ICML 2023
MDM: Molecular Diffusion Model for 3D Molecule Generation AAAI 2023
Microcanonical Hamiltonian Monte Carlo JMLR 2023
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference AAAI 2023
Optimal Preconditioning and Fisher Adaptive Langevin Sampling NIPS 2023
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation NIPS 2023
Mini-batching error and adaptive Langevin dynamics JMLR 2023
3D molecule generation by denoising voxel grids NIPS 2023
Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms AISTATS 2023
Expressive probabilistic sampling in recurrent neural networks NIPS 2023
Learning Energy-based Model via Dual-MCMC Teaching NIPS 2023
A Dynamical System View of Langevin-Based Non-Convex Sampling NIPS 2023
Langevin Diffusion Variational Inference AISTATS 2023
Learning Rate Free Sampling in Constrained Domains NIPS 2023
CASN:Class-Aware Score Network for Textual Adversarial Detection ACL 2023
HumanDiffusion: diffusion model using perceptual gradients INTERSPEECH 2023
Generalization Bounds for Gradient Methods via Discrete and Continuous Prior NIPS 2022
Sensing Cox Processes via Posterior Sampling and Positive Bases AISTATS 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
Few-Shot Fast-Adaptive Anomaly Detection NIPS 2022
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics NIPS 2022
Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent NIPS 2022
Natural gradient enables fast sampling in spiking neural networks NIPS 2022
Structured Stochastic Gradient MCMC ICML 2022