Bayesian & Probabilistic

Causal Inference Despite Limited Global Confounding via Mixture Models CLeaR 2023 C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder NeurIPS 2023 Cell Variational Information Bottleneck Network ACML 2023 Certifying Fairness of Probabilistic Circuits AAAI 2023 Characteristic Circuits NeurIPS 2023 CICL_DMS at SemEval-2023 Task 11: Learning With Disagreements (Le-Wi-Di) SemEval 2023 Cluster-Specific Predictions with Multi-Task Gaussian Processes JMLR 2023 CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design ICML 2023 CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift NeurIPS 2023 Cognitive Dissonance: Why Do Language Model Outputs Disagree with Internal Representations of Truthfulness? EMNLP 2023 Coherent Probabilistic Forecasting of Temporal Hierarchies AISTATS 2023 Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates ICML 2023 Collapsed Inference for Bayesian Deep Learning NeurIPS 2023 Collective Intelligence in Human-AI Teams: A Bayesian Theory of Mind Approach AAAI 2023 Complexity of Probabilistic Inference in Random Dichotomous Hedonic Games AAAI 2023 Compositional Probabilistic and Causal Inference using Tractable Circuit Models AISTATS 2023 Compositional Score Modeling for Simulation-Based Inference ICML 2023 Compression with Bayesian Implicit Neural Representations NeurIPS 2023 Conditional Matrix Flows for Gaussian Graphical Models NeurIPS 2023 Conditional score-based diffusion models for Bayesian inference in infinite dimensions NeurIPS 2023 Condition-number-independent Convergence Rate of Riemannian Hamiltonian Monte Carlo with Numerical Integrators COLT 2023 Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization ICLR 2023 Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks JMLR 2023 Constrained Efficient Global Optimization of Expensive Black-box Functions ICML 2023 Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning ICML 2023