Bayesian & Probabilistic

Bayesian online change point detection with Hilbert space approximate Student-t process ICML 2023 Bayesian Optimization-Based Combinatorial Assignment AAAI 2023 Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings AISTATS 2023 Bayesian Spiked Laplacian Graphs JMLR 2023 Bayesian Structure Scores for Probabilistic Circuits AISTATS 2023 Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval ACL 2023 Bit Allocation using Optimization ICML 2023 B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding ICML 2023 Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations AAAI 2023 Bounded rationality in structured density estimation NeurIPS 2023 Bregman Deviations of Generic Exponential Families COLT 2023 Calibration by Distribution Matching: Trainable Kernel Calibration Metrics NeurIPS 2023 CataBEEM: Integrating Latent Interaction Categories in Node-wise Community Detection Models for Network Data ICML 2023 Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction AAAI 2023 Causal Modeling of Policy Interventions From Treatment-Outcome Sequences ICML 2023 Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning ICLR 2023 Certifying Fairness of Probabilistic Circuits AAAI 2023 Characteristic Circuits NeurIPS 2023 Cluster-Specific Predictions with Multi-Task Gaussian Processes JMLR 2023 C-NTPP: Learning Cluster-Aware Neural Temporal Point Process AAAI 2023 CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design ICML 2023 Code-Aware Cross-Program Transfer Hyperparameter Optimization AAAI 2023 Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates ICML 2023 Combinatorial-Probabilistic Trade-Off: P-Values of Community Properties Test in the Stochastic Block Models ICLR 2023 Compositional Probabilistic and Causal Inference using Tractable Circuit Models AISTATS 2023