Bayesian & Probabilistic

The Infinite Contextual Graph Markov Model ICML 2022 The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks ICML 2022 The Neural Testbed: Evaluating Joint Predictions NeurIPS 2022 There Is No Standard Answer: Knowledge-Grounded Dialogue Generation with Adversarial Activated Multi-Reference Learning EMNLP 2022 Thompson Sampling Achieves Õ(√T) Regret in Linear Quadratic Control COLT 2022 Thompson Sampling Efficiently Learns to Control Diffusion Processes NeurIPS 2022 Thompson Sampling for (Combinatorial) Pure Exploration ICML 2022 Thompson Sampling for Robust Transfer in Multi-Task Bandits ICML 2022 Thompson Sampling with a Mixture Prior AISTATS 2022 Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization NeurIPS 2022 Topical Segmentation of Spoken Narratives: A Test Case on Holocaust Survivor Testimonies EMNLP 2022 TopWORDS-Seg: Simultaneous Text Segmentation and Word Discovery for Open-Domain Chinese Texts via Bayesian Inference ACL 2022 Toward Annotator Group Bias in Crowdsourcing ACL 2022 Towards Federated Bayesian Network Structure Learning with Continuous Optimization AISTATS 2022 Towards Improving Selective Prediction Ability of NLP Systems ACL 2022 Towards More Natural Artificial Languages CoNLL 2022 Towards Multimodal Depth Estimation From Light Fields CVPR 2022 Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation NeurIPS 2022 Tractable Function-Space Variational Inference in Bayesian Neural Networks NeurIPS 2022 Tractable Uncertainty for Structure Learning ICML 2022 Training Uncertainty-Aware Classifiers with Conformalized Deep Learning NeurIPS 2022 Transfer Learning with Gaussian Processes for Bayesian Optimization AISTATS 2022 Transformer Embeddings of Irregularly Spaced Events and Their Participants ICLR 2022 Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling ICML 2022 Transformers Can Do Bayesian Inference ICLR 2022