bayesian learning

Free Energy of Bayesian Convolutional Neural Network with Skip Connection ACML 2023 Generative Label Enhancement with Gaussian Mixture and Partial Ranking AAAI 2023 Inferring Private Valuations from Behavioral Data in Bilateral Sequential Bargaining IJCAI 2023 Optimization and Bayes: A Trade-off for Overparameterized Neural Networks NeurIPS 2023 Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach AISTATS 2023 Planning with Hidden Parameter Polynomial MDPs AAAI 2023 Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model AAAI 2023 Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks AAAI 2022 Bayesian Transformer Using Disentangled Mask Attention Interspeech 2022 BiBL: AMR Parsing and Generation with Bidirectional Bayesian Learning COLING 2022 Disentangled Spatiotemporal Graph Generative Models AAAI 2022 Evidential Reasoning and Learning: a Survey IJCAI 2022 Geometry-Aware Hierarchical Bayesian Learning on Manifolds WACV 2022 Globally Gated Deep Linear Networks NeurIPS 2022 iFS-RCNN: An Incremental Few-Shot Instance Segmenter CVPR 2022 Knowledge transfer for learning subject-specific causal models PGM 2022 Latent Time Neural Ordinary Differential Equations AAAI 2022 Metalearning Linear Bandits by Prior Update AISTATS 2022 On the Convergence of the Shapley Value in Parametric Bayesian Learning Games ICML 2022 Repairing Neural Networks by Leaving the Right Past Behind NeurIPS 2022 Foundations of Bayesian Learning from Synthetic Data AISTATS 2021 Geometric convergence of elliptical slice sampling ICML 2021 Hybrid Message Passing With Performance-Driven Structures for Facial Action Unit Detection CVPR 2021 Langevin Dynamics for Adaptive Inverse Reinforcement Learning of Stochastic Gradient Algorithms JMLR 2021 MARTA: Leveraging Human Rationales for Explainable Text Classification AAAI 2021