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approximate inference

253 papers

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Also known as

EM

Co-occurring keywords

variational inference (2069) graphical model (863) bayesian inference (1904) belief propagation (177) gaussian process (1198) probabilistic inference (310) expectation propagation (86) message passing (578) probabilistic graphical model (226) markov chain monte carlo (724)

Papers

On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification NIPS 2022
Function-space Inference with Sparse Implicit Processes ICML 2022
Approximate Inference for Stochastic Planning in Factored Spaces PGM 2022
Online Planning in POMDPs with Self-Improving Simulators IJCAI 2022
The Neurally-Guided Shape Parser: Grammar-Based Labeling of 3D Shape Regions With Approximate Inference CVPR 2022
Tractable Uncertainty for Structure Learning ICML 2022
Speeding up approximate MAP by applying domain knowledge about relevant variables PGM 2022
Diffusion Models as Plug-and-Play Priors NIPS 2022
ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems AAAI 2022
Bezier Gaussian Processes for Tall and Wide Data NIPS 2022
Efficient Approximate Inference for Stationary Kernel on Frequency Domain ICML 2022
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference AISTATS 2022
Gaussian Process Modeling of Approximate Inference Errors for Variational Autoencoders CVPR 2022
Black-box coreset variational inference NIPS 2022
Span-Based Semantic Role Labeling with Argument Pruning and Second-Order Inference AAAI 2022
Streaming Bayesian Deep Tensor Factorization ICML 2021
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval IJCNLP 2021
Post-hoc loss-calibration for Bayesian neural networks UAI 2021
On the difficulty of unbiased alpha divergence minimization ICML 2021
Context-Specific Likelihood Weighting AISTATS 2021
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces NIPS 2021
VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning JMLR 2021
Partition Function Estimation: A Quantitative Study IJCAI 2021
Tractable Approximate Gaussian Inference for Bayesian Neural Networks JMLR 2021
Beyond Perturbation Stability: LP Recovery Guarantees for MAP Inference on Noisy Stable Instances AISTATS 2021