Bayesian Inference

How Tempering Fixes Data Augmentation in Bayesian Neural Networks ICML 2022 Human-AI Collaborative Bayesian Optimisation NeurIPS 2022 Implications of Model Indeterminacy for Explanations of Automated Decisions NeurIPS 2022 Importance Weighted Kernel Bayes’ Rule ICML 2022 Improved analysis for a proximal algorithm for sampling COLT 2022 Improving Bayesian Network Structure Learning in the Presence of Measurement Error JMLR 2022 Improving Evidential Deep Learning via Multi-Task Learning AAAI 2022 Improving Mutual Information Estimation with Annealed and Energy-Based Bounds ICLR 2022 Inference and Learning with Model Uncertainty in Probabilistic Logic Programs AAAI 2022 Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations AISTATS 2022 Infinite SCAN: An Infinite Model of Diachronic Semantic Change EMNLP 2022 InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering CVPR 2022 Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning AISTATS 2022 Information-Theoretic Safe Exploration with Gaussian Processes NeurIPS 2022 Input Dependent Sparse Gaussian Processes ICML 2022 Instance Selection: A Bayesian Decision Theory Perspective AAAI 2022 Integral Probability Metrics PAC-Bayes Bounds NeurIPS 2022 Interpolating between sampling and variational inference with infinite stochastic mixtures UAI 2022 Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations AAAI 2022 Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction CoRL 2022 Interpreting Time-Varying Dynamic Bayesian Networks for Earth Climate Modelling PGM 2022 Interventions, Where and How? Experimental Design for Causal Models at Scale NeurIPS 2022 Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations NeurIPS 2022 Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably? AISTATS 2022 Is Discourse Role Important for Emotion Recognition in Conversation? AAAI 2022