conftrace_

Bayesian & Probabilistic

4,733 papers (2 classified directly here)

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

Probabilistic Modeling (2,617) Variational Inference (898) Gaussian Processes (666) Bayesian Learning (483) Markov Chain Monte Carlo (374) Bayesian Optimization (284) Nonparametric Bayesian (174) Bayesian Networks (149) Conditional Random Fields (39)

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Papers (including subtopics)

Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design UAI 2026 Overlap Analysis of the Shortest Path Problem: Local Search, Landscapes, and Franz-Parisi Potential COLT 2026 PAC-Bayesian Analysis of the Surrogate Relation between Joint Embedding and Supervised Downstream Losses ALT 2026 Particle Dynamics for Latent-Variable Energy-Based Models UAI 2026 Particle GFlowNets: Rethinking Generative Marginalization Models UAI 2026 Partition Function Estimation under Bounded f-Divergence COLT 2026 PFEM-GP-dPHS : a finite element framework for combining Gaussian processes and infinite-dimensional port-Hamiltonian systems L4DC 2026 Photo Dating by Facial Age Aggregation WACV 2026 Polynomial-time sampling despite disorder chaos COLT 2026 Probabilistic Edge Modulation for High-Dimensional Causal Discovery UAI 2026 Probabilistic Rainfall Downscaling: Joint Generalized Neural Models with Censored Spatial Gaussian Copula JMLR 2026 Provably Safe Stein Variational Clarity-Aware Informative Planning L4DC 2026 Proxy-Guided Measurement Calibration CLeaR 2026 py/cuTAGI: An Open-Source Library for Tractable Approximate Gaussian Inference in Bayesian Neural Networks JMLR 2026 Quantification of Credal Uncertainty: A Distance-Based Approach UAI 2026 ReBaPL: Repulsive Bayesian Prompt Learning CVPR 2026 Relative Information Gain and Gaussian Process Regression ALT 2026 Scaling Up Bayesian DAG Sampling UAI 2026 Set-based v.s. Distribution-based Representations of Epistemic Uncertainty: A Comparative Study UAI 2026 Simulation-based Calibration of Uncertainty Intervals under Approximate Bayesian Estimation JMLR 2026 Sparse-to-Field Reconstruction via Stochastic Neural Dynamic Mode Decomposition L4DC 2026 Talagrand Meets Talagrand: Upper and Lower Bounds on Expected Soft Maxima of Gaussian Processes with Finite Index Sets ALT 2026 Text2Tabular – Reconstructing Tabular Research Data from Scientific Publications ACL 2026 The Geometry of Efficient Nonconvex Sampling COLT 2026 The Price of Knowledge: Optimal Algorithms for Costly Bandits UAI 2026