Bayesian Inference

Distributional Depth-Based Estimation of Object Articulation Models CoRL 2021 Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models NeurIPS 2021 Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning AISTATS 2021 Diversity Enhanced Active Learning with Strictly Proper Scoring Rules NeurIPS 2021 Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference IJCAI 2021 Do Not Forget to Attend to Uncertainty While Mitigating Catastrophic Forgetting WACV 2021 Dual Online Stein Variational Inference for Control and Dynamics RSS 2021 Dual Parameterization of Sparse Variational Gaussian Processes NeurIPS 2021 Dynamic Causal Bayesian Optimization NeurIPS 2021 Dynamic Probabilistic Graph Convolution for Facial Action Unit Intensity Estimation CVPR 2021 Educational Question Mining At Scale: Prediction, Analysis and Personalization AAAI 2021 Efficient Bayesian network structure learning via local Markov boundary search NeurIPS 2021 Efficient Computation and Analysis of Distributional Shapley Values AISTATS 2021 Efficient constrained sampling via the mirror-Langevin algorithm NeurIPS 2021 Efficient debiased evidence estimation by multilevel Monte Carlo sampling UAI 2021 Efficient Inference of Flexible Interaction in Spiking-neuron Networks ICLR 2021 Efficient methods for Gaussian Markov random fields under sparse linear constraints NeurIPS 2021 Efficient online inference for nonparametric mixture models UAI 2021 Efficient sampling from the Bingham distribution ALT 2021 Empirical Bayes Matrix Factorization JMLR 2021 Enriching ImageNet With Human Similarity Judgments and Psychological Embeddings CVPR 2021 Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors ICLR 2021 Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable? ICML 2021 Evaluating State-of-the-Art Classification Models Against Bayes Optimality NeurIPS 2021 Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte Carlo ICML 2021