Probabilistic Modeling

The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution AAAI 2024 The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank AAAI 2024 Theory-guided Message Passing Neural Network for Probabilistic Inference AISTATS 2024 The Whole Is Bigger Than the Sum of Its Parts: Modeling Individual Annotators to Capture Emotional Variability Interspeech 2024 This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization NeurIPS 2024 Toward Conditional Distribution Calibration in Survival Prediction NeurIPS 2024 Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents COLING 2024 Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms ICML 2024 Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks ICLR 2024 Trusted Multi-view Learning with Label Noise IJCAI 2024 Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functions MIDL 2024 Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution AAAI 2024 Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model AAAI 2024 Uncertainty quantification of set-membership estimation in control and perception: Revisiting the minimum enclosing ellipsoid L4DC 2024 Uncertainty Quantification via Stable Distribution Propagation ICLR 2024 Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs ICML 2024 Variational Gaussian Process Diffusion Processes AISTATS 2024 Variational Inference with Coverage Guarantees in Simulation-Based Inference ICML 2024 Variational Language Concepts for Interpreting Foundation Language Models EMNLP 2024 Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting NeurIPS 2024 VI-OOD: A Unified Framework of Representation Learning for Textual Out-of-distribution Detection COLING 2024 Warped Diffusion for Latent Differentiation Inference AISTATS 2024 What’s the score? Automated Denoising Score Matching for Nonlinear Diffusions ICML 2024 What type of inference is planning? NeurIPS 2024 Winner-takes-all learners are geometry-aware conditional density estimators ICML 2024