conftrace_

mean field

27 papers

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MF

Co-occurring keywords

variational inference (2069) belief propagation (177) graphical model (864) ising model (85) probabilistic inference (312) stochastic blockmodel (21) markov random field (303) multi-armed bandit (1098) bayesian neural network (201) factor graph (81)

Papers

Generative Adversarial Networks: Dynamics JMLR 2025
Improved Particle Approximation Error for Mean Field Neural Networks NIPS 2024
Entropic Fictitious Play for Mean Field Optimization Problem JMLR 2023
Best Arm Identification in Multi-Agent Multi-Armed Bandits ICML 2023
Statistical and Computational Trade-off in Multi-Agent Multi-Armed Bandits NIPS 2023
Probabilistic Transformer: A Probabilistic Dependency Model for Contextual Word Representation ACL 2023
Convergence of Policy Gradient for Entropy Regularized MDPs with Neural Network Approximation in the Mean-Field Regime ICML 2022
Approximate Inference for Stochastic Planning in Factored Spaces PGM 2022
On global convergence of ResNets: From finite to infinite width using linear parameterization NIPS 2022
When random initializations help: a study of variational inference for community detection JMLR 2021
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks ICML 2020
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning ICML 2020
An Instability in Variational Inference for Topic Models ICML 2019
Second-Order Semantic Dependency Parsing with End-to-End Neural Networks ACL 2019
Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay NIPS 2019
Mean Field Multi-Agent Reinforcement Learning ICML 2018
Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues NIPS 2018
Optimal Single Sample Tests for Structured versus Unstructured Network Data COLT 2018
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks ICML 2017
Tight Variational Bounds via Random Projections and I-Projections AISTATS 2016
Scalable Variational Inference in Log-supermodular Models ICML 2015
Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy NIPS 2015
A Novel Chamfer Template Matching Method Using Variational Mean Field CVPR 2014
Discrete MRF Inference of Marginal Densities for Non-uniformly Discretized Variable Space CVPR 2013
A Fully-Connected Layered Model of Foreground and Background Flow CVPR 2013