conftrace_

Bayesian & Probabilistic

5,407 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Probabilistic Modeling (3,137) Bayesian Learning (1,734) Bayesian Inference (1,087) Variational Inference (275) Bayesian Networks (103) Gaussian Processes (88)

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Papers (including subtopics)

Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder ICLR 2024 Chain of Log-Concave Markov Chains ICLR 2024 Challenges and Considerations in the Evaluation of Bayesian Causal Discovery ICML 2024 Choosing the Number of Topics in LDA Models – A Monte Carlo Comparison of Selection Criteria JMLR 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 Computational Aspects of Bayesian Persuasion under Approximate Best Response NeurIPS 2024 Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference NeurIPS 2024 Computation-Aware Learning for Stable Control with Gaussian Process RSS 2024 Conditional Bayesian Quadrature UAI 2024 Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations ICML 2024 Confidence Estimation for Automatic Detection of Depression and Alzheimer’s Disease Based on Clinical Interviews Interspeech 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 Consistency Models for Scalable and Fast Simulation-Based Inference NeurIPS 2024 Consistency of Neural Causal Partial Identification NeurIPS 2024 Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors AISTATS 2024 Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence AAAI 2024