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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)

Papers per year

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2000
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Papers (including subtopics)

Constrained Sampling with Primal-Dual Langevin Monte Carlo NeurIPS 2024 Context-Aware Replanning with Pre-Explored Semantic Map for Object Navigation CoRL 2024 Context-Specific Refinements of Bayesian Network Classifiers PGM 2024 Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation NeurIPS 2024 ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees EMNLP 2024 Convergence of Kinetic Langevin Monte Carlo on Lie groups COLT 2024 Coreset Markov chain Monte Carlo AISTATS 2024 Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning ICML 2024 Counterfactually-Equivalent Structural Causal Modelling Using Causal Graphical Normalizing Flows PGM 2024 CROWD: Certified Robustness via Weight Distribution for Smoothed Classifiers against Backdoor Attack EMNLP 2024 Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations AISTATS 2024 Decoding Human Language Acquisition: EEG Evidence for Predictive Probabilistic Statistics in Word Segmentation Interspeech 2024 Decomposing Constraint Networks for Calculating c-Representations AAAI 2024 Deep Bayesian Active Learning for Preference Modeling in Large Language Models NeurIPS 2024 Delta-AI: Local objectives for amortized inference in sparse graphical models ICLR 2024 Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval NeurIPS 2024 Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization NeurIPS 2024 Differentially Private Data Release for Mixed-type Data via Latent Factor Models JMLR 2024 Differentially private exact recovery for stochastic block models ICML 2024 Differentially private methods for managing model uncertainty in linear regression JMLR 2024 DiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans CVPR 2024 DiffPO: A causal diffusion model for learning distributions of potential outcomes NeurIPS 2024 Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization NeurIPS 2024 Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations ICML 2024 Dirichlet process mixture model based on topologically augmented signal representation for clustering infant vocalizations Interspeech 2024