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Bayesian & Probabilistic

3,963 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,252) Variational Inference (802) Gaussian Processes (570) Bayesian Learning (455) Bayesian Optimization (221) Markov Chain Monte Carlo (143) Nonparametric Bayesian (86) Bayesian Networks (81) Conditional Random Fields (5)

Papers per year

9
118
124
394
151
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Papers (including subtopics)

Safe Exploration for Interactive Machine Learning NIPS 2019
New Convex Relaxations for MRF Inference With Unknown Graphs ICCV 2019
Structured Bayesian Networks: From Inference to Learning with Routes AAAI 2019
Recovering Bandits NIPS 2019
Periodic Kernel Approximation by Index Set Fourier Series Features UAI 2019
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions UAI 2019
Bayesian Layers: A Module for Neural Network Uncertainty NIPS 2019
Exploiting Visual Features Using Bayesian Gated Neural Networks for Disordered Speech Recognition INTERSPEECH 2019
Efficient Inference in Multi-task Cox Process Models AISTATS 2019
Domain-Size Aware Markov Logic Networks AISTATS 2019
A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-and-Bound Technique AAAI 2019
A Weighted Mini-Bucket Bound for Solving Influence Diagram UAI 2019
Learning Bayesian Networks with Low Rank Conditional Probability Tables NIPS 2019
Hyperparameter Learning via Distributional Transfer NIPS 2019
Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation UAI 2019
Bayesian Loss for Crowd Count Estimation With Point Supervision ICCV 2019
Scalable Global Optimization via Local Bayesian Optimization NIPS 2019
Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference AISTATS 2019
Learning Vine Copula Models for Synthetic Data Generation AAAI 2019
Real-Time Robotic Search using Structural Spatial Point Processes UAI 2019
Bayesian Learning of Neural Network Architectures AISTATS 2019
Learning Mixtures of Plackett-Luce Models from Structured Partial Orders NIPS 2019
No-Regret Learning in Unknown Games with Correlated Payoffs NIPS 2019
Counting and Sampling from Markov Equivalent DAGs Using Clique Trees AAAI 2019
Word and Document Embedding with vMF-Mixture Priors on Context Word Vectors ACL 2019