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Bayesian & Probabilistic

3,963 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,252) Variational Inference (802) Gaussian Processes (570) Bayesian Learning (455) Bayesian Optimization (221) Markov Chain Monte Carlo (143) Nonparametric Bayesian (86) Bayesian Networks (81) Conditional Random Fields (5)

Papers per year

9
118
124
394
151
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'25

Papers (including subtopics)

Learning GFlowNets From Partial Episodes For Improved Convergence And Stability ICML 2023
Stochastic Generative Flow Networks UAI 2023
Bayesian Federated Neural Matching That Completes Full Information AAAI 2023
“Why Not Looking backward?” A Robust Two-Step Method to Automatically Terminate Bayesian Optimization NIPS 2023
Sparse Maximum Margin Learning from Multimodal Human Behavioral Patterns AAAI 2023
Bayesian Structure Scores for Probabilistic Circuits AISTATS 2023
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models NIPS 2023
Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo NIPS 2023
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes AISTATS 2023
Learning Curves for Deep Structured Gaussian Feature Models NIPS 2023
Expressive probabilistic sampling in recurrent neural networks NIPS 2023
Adaptive Annealed Importance Sampling with Constant Rate Progress ICML 2023
A Dynamical System View of Langevin-Based Non-Convex Sampling NIPS 2023
Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws AISTATS 2023
Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics JMLR 2023
Optimizing Hyperparameters with Conformal Quantile Regression ICML 2023
Novel Ordering-Based Approaches for Causal Structure Learning in the Presence of Unobserved Variables AAAI 2023
GFlowNet Foundations JMLR 2023
Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization AAAI 2023
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes ICML 2023
Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks AAAI 2023
SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals AISTATS 2023
On the Estimation of Gaussian Mixture Copula Models ICML 2023
Context-Specific Causal Discovery for Categorical Data Using Staged Trees AISTATS 2023
Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis ICML 2023