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)

FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models EMNLP 2025 Fast Computing of Dung Semantics in Acyclic Probabilistic Argumentation Frameworks AAAI 2025 Fast Summation of Radial Kernels via QMC Slicing ICLR 2025 Fast training and sampling of Restricted Boltzmann Machines ICLR 2025 Feature Attribution for Deep Learning Models through Total Variance Decomposition MIDL 2025 Finding Interior Optimum of Black-box Constrained Objective with Bayesian Optimization UAI 2025 Fine-Grained Change Point Detection for Topic Modeling with Pitman-Yor Process JMLR 2025 Flexible and Efficient Probabilistic PDE Solvers through Gaussian Markov Random Fields AISTATS 2025 Flexible Copula-Based Mixed Models in Deep Learning: A Scalable Approach to Arbitrary Marginals AISTATS 2025 Flow-Based Delayed Hawkes Process UAI 2025 From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation AISTATS 2025 From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs AAAI 2025 Functional Stochastic Gradient MCMC for Bayesian Neural Networks AISTATS 2025 Function-Space MCMC for Bayesian Wide Neural Networks AISTATS 2025 Fuzzy Reasoning Chain (FRC): An Innovative Reasoning Framework from Fuzziness to Clarity EMNLP 2025 G2SF: Geometry-Guided Score Fusion for Multimodal Industrial Anomaly Detection ICCV 2025 GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction CVPR 2025 Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data AAAI 2025 Generalised Probabilistic Modelling and Improved Uncertainty Estimation in Comparative LLM-as-a-judge UAI 2025 Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning AAAI 2025 Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature UAI 2025 Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation AISTATS 2025 GRASP at CoMeDi Shared Task: Multi-Strategy Modeling of Annotator Behavior in Multi-Lingual Semantic Judgments COLING 2025 HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks AISTATS 2025 HDP-Flow: Generalizable Bayesian Nonparametric Model for Time Series State Discovery UAI 2025