conftrace_

mean-field approximation

21 papers

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Co-occurring keywords

variational inference (2069) bayesian neural network (201) posterior approximation (132) posterior distribution (259) evidence lower bound (68) uncertainty quantification (1393) belief propagation (177) bayesian inference (1907) contrastive divergence (32) stochastic process (388)

Papers

Learning Set Functions with Implicit Differentiation AAAI 2025
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space COLT 2024
Structured variational inference in Bayesian state-space models AISTATS 2022
Mesoscopic modeling of hidden spiking neurons NIPS 2022
Online Learning to Transport via the Minimal Selection Principle COLT 2022
On the detrimental effect of invariances in the likelihood for variational inference NIPS 2022
Wide Mean-Field Bayesian Neural Networks Ignore the Data AISTATS 2022
Collapsed Variational Bounds for Bayesian Neural Networks NIPS 2021
Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL NIPS 2021
Fast Tucker Rank Reduction for Non-Negative Tensors Using Mean-Field Approximation NIPS 2021
Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations NIPS 2020
Contrastive Divergence Learning with Chained Belief Propagation PGM 2020
Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation ICML 2020
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam ICML 2018
On Statistical Optimality of Variational Bayes AISTATS 2018
Collisions as Information Sources in Densely Packed Multi-Robot Systems Under Mean-Field Approximations RSS 2017
Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution NIPS 2016
Stochastic Structured Variational Inference AISTATS 2015
Dense Semantic Image Segmentation with Objects and Attributes CVPR 2014
Multi-Label Output Codes using Canonical Correlation Analysis AISTATS 2011
Fast Variational Inference for Large-scale Internet Diagnosis NIPS 2007