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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2000

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Papers (including subtopics)

Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression AAAI 2024 Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm NeurIPS 2024 Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning NeurIPS 2024 Domain Invariant Learning for Gaussian Processes and Bayesian Exploration AAAI 2024 DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems ICML 2024 Efficient Detection of Commutative Factors in Factor Graphs PGM 2024 Efficiently Acquiring Human Feedback with Bayesian Deep Learning EACL 2024 Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning AISTATS 2024 Eliminating Variable Order Instability in Greedy Score-Based Structure Learning PGM 2024 Energy-based Epistemic Uncertainty for Graph Neural Networks NeurIPS 2024 Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces NeurIPS 2024 Energy-Guided Continuous Entropic Barycenter Estimation for General Costs NeurIPS 2024 Enhancing Bayesian Networks with Psychometric Models PGM 2024 Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA NeurIPS 2024 Enhancing Neural Subset Selection: Integrating Background Information into Set Representations ICLR 2024 Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling ICLR 2024 Entropy testing and its application to testing Bayesian networks NeurIPS 2024 ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation CVPR 2024 Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data NeurIPS 2024 Estimating the Hallucination Rate of Generative AI NeurIPS 2024 Estimating treatment effects from single-arm trials via latent-variable modeling AISTATS 2024 Estimation of partially known Gaussian graphical models with score-based structural priors AISTATS 2024 EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning ACML 2024 Evaluating Bayesian deep learning for radio galaxy classification UAI 2024 Evaluating Topic Model on Asymmetric and Multi-Domain Financial Corpus COLING 2024