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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)

Horde of Bandits using Gaussian Markov Random Fields AISTATS 2017
Dynamic Collaborative Filtering With Compound Poisson Factorization AISTATS 2017
Information-theoretic limits of Bayesian network structure learning AISTATS 2017
Markov Chain Truncation for Doubly-Intractable Inference AISTATS 2017
CPSG-MCMC: Clustering-Based Preprocessing method for Stochastic Gradient MCMC AISTATS 2017
On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior AISTATS 2017
Complementary Sum Sampling for Likelihood Approximation in Large Scale Classification AISTATS 2017
A Lower Bound on the Partition Function of Attractive Graphical Models in the Continuous Case AISTATS 2017
Sequential Graph Matching with Sequential Monte Carlo AISTATS 2017
A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models AISTATS 2017
Thompson Sampling for Linear-Quadratic Control Problems AISTATS 2017
Prediction Performance After Learning in Gaussian Process Regression AISTATS 2017
Learning Structured Weight Uncertainty in Bayesian Neural Networks AISTATS 2017
Inference Compilation and Universal Probabilistic Programming AISTATS 2017
Information Projection and Approximate Inference for Structured Sparse Variables AISTATS 2017
Distribution of Gaussian Process Arc Lengths AISTATS 2017
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models AISTATS 2017
Soft-Bayes: Prod for Mixtures of Experts with Log-Loss ALT 2017
Thompson Sampling for the MNL-Bandit COLT 2017
Testing Bayesian Networks COLT 2017
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics COLT 2017
A Probabilistic Generative Grammar for Semantic Parsing CONLL 2017
Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network CVPR 2017
ShapeOdds: Variational Bayesian Learning of Generative Shape Models CVPR 2017
Noise-Blind Image Deblurring CVPR 2017