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)

Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport JMLR 2024 Learning relevant contextual variables within Bayesian optimization UAI 2024 Learning Staged Trees from Incomplete Data PGM 2024 Learning to Continually Learn with the Bayesian Principle ICML 2024 Learning to Embed Distributions via Maximum Kernel Entropy NeurIPS 2024 Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models AISTATS 2024 Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference ICML 2024 Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments ICLR 2024 Lifted Causal Inference in Relational Domains CLeaR 2024 LIMID Quality Control Models for Increasing Failure Rate Processes PGM 2024 Linearly Constrained Gaussian Processes are SkewGPs: application to Monotonic Preference Learning and Desirability UAI 2024 Linear Opinion Pooling for Uncertainty Quantification on Graphs UAI 2024 Linear Uncertainty Quantification of Graphical Model Inference NeurIPS 2024 Liouville Flow Importance Sampler ICML 2024 LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language NeurIPS 2024 LP-based Construction of DC Decompositions for Efficient Inference of Markov Random Fields AISTATS 2024 Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models CVPR 2024 Making Better Use of Unlabelled Data in Bayesian Active Learning AISTATS 2024 Making RL with Preference-based Feedback Efficient via Randomization ICLR 2024 MALIBO: Meta-learning for Likelihood-free Bayesian Optimization ICML 2024 MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees AAAI 2024 Markov Constraint as Large Language Model Surrogate IJCAI 2024 Measuring acoustic dissimilarity of hierarchical markers in task-oriented dialogue with MFCC-based dynamic time warping Interspeech 2024 Measuring Goal-Directedness NeurIPS 2024 Measuring Sample Quality in Algorithms for Intractable Normalizing Function Problems JMLR 2024