Bayesian Inference

Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs NeurIPS 2023 EINNs: Epidemiologically-Informed Neural Networks AAAI 2023 ELFNet: Evidential Local-global Fusion for Stereo Matching ICCV 2023 Embracing the chaos: analysis and diagnosis of numerical instability in variational flows NeurIPS 2023 Empirical Bayes via ERM and Rademacher complexities: the Poisson model COLT 2023 EM Pre-training for Multi-party Dialogue Response Generation ACL 2023 Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured Sparsity AISTATS 2023 End-to-End Learning for Stochastic Optimization: A Bayesian Perspective ICML 2023 End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes NeurIPS 2023 Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models NeurIPS 2023 Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach NeurIPS 2023 Energy Discrepancies: A Score-Independent Loss for Energy-Based Models NeurIPS 2023 Energy Guided Diffusion for Generating Neurally Exciting Images NeurIPS 2023 Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations ACL 2023 Entropy-based Training Methods for Scalable Neural Implicit Samplers NeurIPS 2023 Epistemic Neural Networks NeurIPS 2023 Erratum: Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm JMLR 2023 Escaping The Curse of Dimensionality in Bayesian Model-Based Clustering JMLR 2023 Establishing Markov equivalence in cyclic directed graphs UAI 2023 Estimating Average Causal Effects from Patient Trajectories AAAI 2023 Estimating Noise Correlations Across Continuous Conditions With Wishart Processes NeurIPS 2023 Estimating the Contamination Factor’s Distribution in Unsupervised Anomaly Detection ICML 2023 Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression ACL 2023 Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling MIDL 2023 Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis MIDL 2023