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Bayesian & Probabilistic

4,335 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,599) Bayesian Learning (1,663) Bayesian Inference (523) Variational Inference (107) Gaussian Processes (6) Bayesian Networks (5)

Papers per year

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Papers (including subtopics)

Stochastic Approximation Algorithms for Systems of Interacting Particles NIPS 2023
Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems AISTATS 2023
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation NIPS 2023
Probabilistic Symmetry for Multi-Agent Dynamics L4DC 2023
Not all Strongly Rayleigh Distributions Have Small Probabilistic Generating Circuits ICML 2023
Inferring Private Valuations from Behavioral Data in Bilateral Sequential Bargaining IJCAI 2023
Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms NIPS 2023
Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations ICML 2023
Lifted Inference with Linear Order Axiom AAAI 2023
Differentiable Random Partition Models NIPS 2023
Generalized Belief Transport NIPS 2023
The Behavior and Convergence of Local Bayesian Optimization NIPS 2023
GAUCHE: A Library for Gaussian Processes in Chemistry NIPS 2023
It’s MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk EMNLP 2023
Probabilistic Reasoning and Learning for Trustworthy AI AAAI 2023
Variational Gaussian processes for linear inverse problems NIPS 2023
Balancing Risk and Reward: A Batched-Bandit Strategy for Automated Phased Release NIPS 2023
Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss Information ACL 2023
Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model AAAI 2023
Collective Intelligence in Human-AI Teams: A Bayesian Theory of Mind Approach AAAI 2023
Variational Inference for Deblending Crowded Starfields JMLR 2023
Bayesian Federated Learning: A Survey IJCAI 2023
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes ICML 2023
Surveillance Evasion Through Bayesian Reinforcement Learning AISTATS 2023
Quantitative Universal Approximation Bounds for Deep Belief Networks ICML 2023