Probabilistic Modeling

There Is No Standard Answer: Knowledge-Grounded Dialogue Generation with Adversarial Activated Multi-Reference Learning EMNLP 2022 Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization NeurIPS 2022 Toward Annotator Group Bias in Crowdsourcing ACL 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 Training Uncertainty-Aware Classifiers with Conformalized Deep Learning NeurIPS 2022 Transformer Embeddings of Irregularly Spaced Events and Their Participants ICLR 2022 Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling ICML 2022 Traversing Time with Multi-Resolution Gaussian Process State-Space Models L4DC 2022 Trusted Multi-View Deep Learning with Opinion Aggregation AAAI 2022 Tuning-Free Generalized Hamiltonian Monte Carlo AISTATS 2022 Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets AAAI 2022 Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture NeurIPS 2022 Updating Probability Intervals with Uncertain Inputs IJCAI 2022 Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features JMLR 2022 VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming NeurIPS 2022 VaiPhy: a Variational Inference Based Algorithm for Phylogeny NeurIPS 2022 Variational Inference in high-dimensional linear regression JMLR 2022 Variational message passing neural network for Maximum-A-Posteriori (MAP) inference UAI 2022 Variational nearest neighbor Gaussian process ICML 2022 Who did it? Identifying the Most Likely Origins of Events PGM 2022 3DP3: 3D Scene Perception via Probabilistic Programming NeurIPS 2021 Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution CVPR 2021 A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference NeurIPS 2021