Probabilistic Modeling

Beta-LR: Interpretable Logical Reasoning based on Beta Distribution NAACL 2024 Better Batch for Deep Probabilistic Time Series Forecasting AISTATS 2024 Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support AISTATS 2024 Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling ICML 2024 Beyond the Norms: Detecting Prediction Errors in Regression Models ICML 2024 Binary Search with Distributional Predictions NeurIPS 2024 Boundary constrained Gaussian processes for robust physics-informed machine learning of linear partial differential equations JMLR 2024 Building Expressive and Tractable Probabilistic Generative Models: A Review IJCAI 2024 Calibrating the Confidence of Large Language Models by Eliciting Fidelity EMNLP 2024 Can Machines Learn the True Probabilities? ICML 2024 Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder ICLR 2024 Challenges and Considerations in the Evaluation of Bayesian Causal Discovery ICML 2024 CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models NeurIPS 2024 Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference ICML 2024 COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits ICLR 2024 Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference AAAI 2024 Colour Me Uncertain: Representing Vagueness with Probabilistic Semantics EACL 2024 Colour Passing Revisited: Lifted Model Construction with Commutative Factors AAAI 2024 Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference NeurIPS 2024 Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations ICML 2024 Conformalized Credal Set Predictors NeurIPS 2024 Conformal Prediction for Semantically-Aware Autonomous Perception in Urban Environments CoRL 2024 Conformal Predictions under Markovian Data ICML 2024 Conformal Prediction via Regression-as-Classification ICLR 2024 Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks? ICML 2024