Bayesian & Probabilistic

Disentangled Multi-Fidelity Deep Bayesian Active Learning ICML 2023 Distance-to-Set Priors and Constrained Bayesian Inference AISTATS 2023 Distilling knowledge from Gaussian process teacher to neural network student Interspeech 2023 Distributionally Robust Skeleton Learning of Discrete Bayesian Networks NeurIPS 2023 Double Randomized Underdamped Langevin with Dimension-Independent Convergence Guarantee NeurIPS 2023 Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions ICML 2023 dugMatting: Decomposed-Uncertainty-Guided Matting ICML 2023 DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets NeurIPS 2023 Editing Boolean Classifiers: A Belief Change Perspective AAAI 2023 EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph Model AISTATS 2023 Efficient approximation of neural population structure and correlations with probabilistic circuits ICLR 2023 Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models NeurIPS 2023 Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification ICML 2023 Empirical Bayes via ERM and Rademacher complexities: the Poisson model COLT 2023 Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured Sparsity AISTATS 2023 End-to-End Learning for Stochastic Optimization: A Bayesian Perspective ICML 2023 Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation ICCV 2023 Energy-Based Test Sample Adaptation for Domain Generalization ICLR 2023 Energy Discrepancies: A Score-Independent Loss for Energy-Based Models NeurIPS 2023 Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations ACL 2023 Escaping The Curse of Dimensionality in Bayesian Model-Based Clustering JMLR 2023 Estimation of Counterfactual Interventions under Uncertainties ACML 2023 Evidential Conditional Neural Processes AAAI 2023 Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach NeurIPS 2023 Exploiting Inferential Structure in Neural Processes UAI 2023