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approximate inference

253 papers

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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

Normalizing Flows for Probabilistic Modeling and Inference JMLR 2021
Streaming Bayesian Deep Tensor Factorization ICML 2021
Beyond Perturbation Stability: LP Recovery Guarantees for MAP Inference on Noisy Stable Instances AISTATS 2021
Tractable Approximate Gaussian Inference for Bayesian Neural Networks JMLR 2021
Variable Skipping for Autoregressive Range Density Estimation ICML 2020
Quantile Propagation for Wasserstein-Approximate Gaussian Processes NIPS 2020
CREMA: A Java Library for Credal Network Inference PGM 2020
Correcting Predictions for Approximate Bayesian Inference AAAI 2020
Inter-domain Deep Gaussian Processes ICML 2020
Asymptotic Consistency of $\alpha$-{R}ényi-Approximate Posteriors JMLR 2020
Walsh-Hadamard Variational Inference for Bayesian Deep Learning NIPS 2020
Stein Variational Inference for Discrete Distributions AISTATS 2020
Approximate Inference with Wasserstein Gradient Flows AISTATS 2020
Amortized Inference of Variational Bounds for Learning Noisy-OR AISTATS 2020
Flexible Approximate Inference via Stratified Normalizing Flows UAI 2020
MAP Inference for Customized Determinantal Point Processes via Maximum Inner Product Search AISTATS 2020
Approximate Weighted First-Order Model Counting: Exploiting Fast Approximate Model Counters and Symmetry IJCAI 2020
Deep Structured Mixtures of Gaussian Processes AISTATS 2020
Stochastic Stein Discrepancies NIPS 2020
Towards Consistent Variational Auto-Encoding (Student Abstract) AAAI 2020
Distortion estimates for approximate Bayesian inference UAI 2020
Probabilistic Graphical Models with Neural Networks in InferPy PGM 2020
Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions AISTATS 2020
Trust-Region Variational Inference with Gaussian Mixture Models JMLR 2020
Amortized variance reduction for doubly stochastic objective UAI 2020