Bayesian Inference

Modality-Agnostic Variational Compression of Implicit Neural Representations ICML 2023 Mode-constrained Model-based Reinforcement Learning via Gaussian Processes AISTATS 2023 Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning NeurIPS 2023 Model-Based Offline Weighted Policy Optimization (Student Abstract) AAAI 2023 Model-Based Uncertainty in Value Functions AISTATS 2023 Model-based Validation as Probabilistic Inference L4DC 2023 Model-free Posterior Sampling via Learning Rate Randomization NeurIPS 2023 Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Field ACL 2023 Modeling the Distributional Uncertainty for Salient Object Detection Models CVPR 2023 Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap AAAI 2023 Monotonic Alpha-divergence Minimisation for Variational Inference JMLR 2023 Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes ICML 2023 Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking ACL 2023 Multi-Fidelity Bayesian Optimization with Unreliable Information Sources AISTATS 2023 Multi-objective optimization via equivariant deep hypervolume approximation ICLR 2023 Multiply Robust Off-policy Evaluation and Learning under Truncation by Death ICML 2023 Multi-Task Off-Policy Learning from Bandit Feedback ICML 2023 Multi-view Collaborative Gaussian Process Dynamical Systems JMLR 2023 NAS-X: Neural Adaptive Smoothing via Twisting NeurIPS 2023 Nearest Neighbor Dirichlet Mixtures JMLR 2023 Necessary and Sufficient Conditions for Inverse Reinforcement Learning of Bayesian Stopping Time Problems JMLR 2023 NeuPSL: Neural Probabilistic Soft Logic IJCAI 2023 Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series ICML 2023 Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization NeurIPS 2023 Neural Sampling in Hierarchical Exponential-family Energy-based Models NeurIPS 2023