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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)

Fast Allocation of Gaussian Process Experts ICML 2014
Low-density Parity Constraints for Hashing-Based Discrete Integration ICML 2014
Max-Margin Infinite Hidden Markov Models ICML 2014
Online Bayesian Passive-Aggressive Learning ICML 2014
Modeling Correlated Arrival Events with Latent Semi-Markov Processes ICML 2014
A Deep and Tractable Density Estimator ICML 2014
Robust Principal Component Analysis with Complex Noise ICML 2014
Exchangeable Variable Models ICML 2014
Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically ICML 2014
Gaussian Process Classification and Active Learning with Multiple Annotators ICML 2014
Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes ICML 2014
Cold-start Active Learning with Robust Ordinal Matrix Factorization ICML 2014
Putting MRFs on a Tensor Train ICML 2014
Sparse meta-Gaussian information bottleneck ICML 2014
Hierarchical Dirichlet Scaling Process ICML 2014
A Bayesian Wilcoxon signed-rank test based on the Dirichlet process ICML 2014
Latent Confusion Analysis by Normalized Gamma Construction ICML 2014
Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models ICML 2014
Inferning with High Girth Graphical Models ICML 2014
Learning Latent Variable Gaussian Graphical Models ICML 2014
Sample Efficient Reinforcement Learning with Gaussian Processes ICML 2014
Effective Bayesian Modeling of Groups of Related Count Time Series ICML 2014
Variational Inference for Sequential Distance Dependent Chinese Restaurant Process ICML 2014
Learning Modular Structures from Network Data and Node Variables ICML 2014
Probabilistic Partial Canonical Correlation Analysis ICML 2014