conftrace_

particle method

17 papers

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Co-occurring keywords

variational inference (2069) stein variational gradient descent (49) wasserstein gradient flow (35) bayesian inference (1907) kernel stein discrepancy (17) sequential monte carlo (90) markov chain monte carlo (725) interacting particle system (5) graphical model (864) particle markov chain monte carlo (5)

Papers

Diffusion-Based Particle-DETR for BEV Perception WACV 2025
Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow AISTATS 2024
Particle Semi-Implicit Variational Inference NIPS 2024
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent NIPS 2023
Particle-based Variational Inference with Generalized Wasserstein Gradient Flow NIPS 2023
Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent NIPS 2023
Learning Rate Free Sampling in Constrained Domains NIPS 2023
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference ICML 2022
Accurate Quantization of Measures via Interacting Particle-based Optimization ICML 2022
Grassmann Stein Variational Gradient Descent AISTATS 2022
Kernel Stein Discrepancy Descent ICML 2021
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers AISTATS 2019
Interacting Particle Markov Chain Monte Carlo ICML 2016
Provable Bayesian Inference via Particle Mirror Descent AISTATS 2016
Proteins, Particles, and Pseudo-Max-Marginals: A Submodular Approach ICML 2015
Sequential Monte Carlo for Graphical Models NIPS 2014
Particle-based Variational Inference for Continuous Systems NIPS 2009