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Bayesian & Probabilistic

4,335 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,599) Bayesian Learning (1,663) Bayesian Inference (523) Variational Inference (107) Gaussian Processes (6) Bayesian Networks (5)

Papers per year

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Papers (including subtopics)

MidasTouch: Monte-Carlo inference over distributions across sliding touch CORL 2022
Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function AISTATS 2022
Concrete Score Matching: Generalized Score Matching for Discrete Data NIPS 2022
Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition ICML 2022
Bezier Gaussian Processes for Tall and Wide Data NIPS 2022
Online Speaker Diarization with Core Samples Selection INTERSPEECH 2022
On PAC-Bayesian reconstruction guarantees for VAEs AISTATS 2022
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes AISTATS 2022
A Probabilistic Graphical Model Based on Neural-Symbolic Reasoning for Visual Relationship Detection CVPR 2022
Tractable Uncertainty for Structure Learning ICML 2022
Posterior and Computational Uncertainty in Gaussian Processes NIPS 2022
Relevance for Robust Bayesian Network MAP-Explanations PGM 2022
Thompson Sampling Efficiently Learns to Control Diffusion Processes NIPS 2022
Bayesian federated estimation of causal effects from observational data UAI 2022
Accurate and Scalable Gaussian Processes for Fine-Grained Air Quality Inference AAAI 2022
Towards Improving Selective Prediction Ability of NLP Systems ACL 2022
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization NIPS 2022
Evidential Reasoning and Learning: a Survey IJCAI 2022
Hardness of Maximum Likelihood Learning of DPPs COLT 2022
Bayesian Risk Markov Decision Processes NIPS 2022
Solving Marginal MAP Exactly by Probabilistic Circuit Transformations AISTATS 2022
Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes JMLR 2022
Measuring the robustness of Gaussian processes to kernel choice AISTATS 2022
Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets AAAI 2022
Thompson Sampling Achieves $\tilde{O}(\sqrt{T})$ Regret in Linear Quadratic Control COLT 2022