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stein variational gradient descent

49 papers

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Also known as

SVGD

Co-occurring keywords

variational inference (2069) bayesian inference (1907) particle method (17) kernel methods (1097) particle-based inference (9) kl divergence (196) markov chain monte carlo (725) kernelized stein discrepancy (12) kernel stein discrepancy (17) wasserstein gradient flow (35)

Papers

Visual Prompting for One-shot Controllable Video Editing without Inversion CVPR 2025
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks AAAI 2025
Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting AISTATS 2024
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent NIPS 2023
On the geometry of Stein variational gradient descent JMLR 2023
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation NIPS 2023
Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent NIPS 2023
Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition AISTATS 2023
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates ICML 2023
Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning ICML 2023
Learning Rate Free Sampling in Constrained Domains NIPS 2023
Collaborative Score Distillation for Consistent Visual Editing NIPS 2023
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning EMNLP 2023
Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent NIPS 2022
Stochastic Multiple Target Sampling Gradient Descent NIPS 2022
A Convergence Theory for SVGD in the Population Limit under Talagrand’s Inequality T1 ICML 2022
Grassmann Stein Variational Gradient Descent AISTATS 2022
Near-Optimal Task Selection for Meta-Learning with Mutual Information and Online Variational Bayesian Unlearning AISTATS 2022
Accurate Quantization of Measures via Interacting Particle-based Optimization ICML 2022
De-randomizing MCMC dynamics with the diffusion Stein operator NIPS 2021
Dual Online Stein Variational Inference for Control and Dynamics RSS 2021
Kernel Stein Discrepancy Descent ICML 2021
Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent NIPS 2021
Stein Variational Model Predictive Control CORL 2020
Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory AISTATS 2020