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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)

Probabilistic Low-Rank Matrix Completion from Quantized Measurements JMLR 2016
A Genetic Algorithm for Learning Parameters in Bayesian Networks using Expectation Maximization PGM 2016
Dynamic Sum Product Networks for Tractable Inference on Sequence Data PGM 2016
Sampling for Bayesian Program Learning NIPS 2016
Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations NIPS 2016
Joint Structural Estimation of Multiple Graphical Models JMLR 2016
Twin Model G-PLDA for Duration Mismatch Compensation in Text-Independent Speaker Verification INTERSPEECH 2016
Early Stopping as Nonparametric Variational Inference AISTATS 2016
Exploring Topic Discriminating Power of Words in Latent Dirichlet Allocation COLING 2016
Statistical Matching of Discrete Data by Bayesian Networks PGM 2016
Stochastic Variational Inference for the HDP-HMM AISTATS 2016
Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity CVPR 2016
Probabilistic Linear Multistep Methods NIPS 2016
Distributed Flexible Nonlinear Tensor Factorization NIPS 2016
Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network ACML 2016
Identifying the irreducible disjoint factors of a multivariate probability distribution PGM 2016
Dealbreaker: A Nonlinear Latent Variable Model for Educational Data ICML 2016
Online Learning With Bayesian Classification Trees CVPR 2016
Variable Elimination in the Fourier Domain ICML 2016
Disease Trajectory Maps NIPS 2016
Probabilistic Approaches to the AXB = YCZ Calibration Problem in Multi-Robot Systems RSS 2016
Coresets for Scalable Bayesian Logistic Regression NIPS 2016
e-PAL: An Active Learning Approach to the Multi-Objective Optimization Problem JMLR 2016
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition NIPS 2016
Multi-task Sparse Structure Learning with Gaussian Copula Models JMLR 2016