Bayesian Inference

VISA: Variational Inference with Sequential Sample-Average Approximations NeurIPS 2024 Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models AAAI 2024 WorDepth: Variational Language Prior for Monocular Depth Estimation CVPR 2024 You’ve Got to Feel It To Believe It: Multi-Modal Bayesian Inference for Semantic and Property Prediction RSS 2024 $α$-MDF: An Attention-based Multimodal Differentiable Filter for Robot State Estimation CoRL 2023 A Bayesian Approach To Analysing Training Data Attribution In Deep Learning NeurIPS 2023 A Bayesian approach to breaking things: efficiently predicting and repairing failure modes via sampling CoRL 2023 A Bayesian Approach to Robust Inverse Reinforcement Learning CoRL 2023 A Bayesian Take on Gaussian Process Networks NeurIPS 2023 Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference ICLR 2023 A Complete Recipe for Diffusion Generative Models ICCV 2023 A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition ACL 2023 A constrained Bayesian approach to out-of-distribution prediction UAI 2023 Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee ACML 2023 Actually Sparse Variational Gaussian Processes AISTATS 2023 Adaptive Annealed Importance Sampling with Constant Rate Progress ICML 2023 Adaptive Cholesky Gaussian Processes AISTATS 2023 Adaptive Reordering Sampler with Neurally Guided MAGSAC ICCV 2023 Adaptive Tuning for Metropolis Adjusted Langevin Trajectories AISTATS 2023 Advancing Bayesian Optimization via Learning Correlated Latent Space NeurIPS 2023 Adversarial De-confounding in Individualised Treatment Effects Estimation AISTATS 2023 Adversarial robustness of amortized Bayesian inference ICML 2023 A Dynamical System View of Langevin-Based Non-Convex Sampling NeurIPS 2023 A Generalizable Physics-informed Learning Framework for Risk Probability Estimation L4DC 2023 A Kernelized Stein Discrepancy for Biological Sequences ICML 2023