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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)

Construction of Dependent Dirichlet Processes based on Poisson Processes NIPS 2010
Tree-Structured Stick Breaking for Hierarchical Data NIPS 2010
Shadow Dirichlet for Restricted Probability Modeling NIPS 2010
Approximate Inference by Compilation to Arithmetic Circuits NIPS 2010
Efficient Relational Learning with Hidden Variable Detection NIPS 2010
Nonparametric Bayesian Policy Priors for Reinforcement Learning NIPS 2010
Probabilistic latent variable models for distinguishing between cause and effect NIPS 2010
Variational Inference over Combinatorial Spaces NIPS 2010
Global seismic monitoring as probabilistic inference NIPS 2010
Gaussian sampling by local perturbations NIPS 2010
Synergies in learning words and their referents NIPS 2010
Approximate inference in continuous time Gaussian-Jump processes NIPS 2010
Probabilistic Deterministic Infinite Automata NIPS 2010
Brain covariance selection: better individual functional connectivity models using population prior NIPS 2010
Word Features for Latent Dirichlet Allocation NIPS 2010
Self-Paced Learning for Latent Variable Models NIPS 2010
Learning Efficient Markov Networks NIPS 2010
Batch Bayesian Optimization via Simulation Matching NIPS 2010
Inference with Multivariate Heavy-Tails in Linear Models NIPS 2010
Learning the context of a category NIPS 2010
Functional form of motion priors in human motion perception NIPS 2010
Layered image motion with explicit occlusions, temporal consistency, and depth ordering NIPS 2010
Implicit encoding of prior probabilities in optimal neural populations NIPS 2010
Probabilistic Inference and Differential Privacy NIPS 2010
Copula Processes NIPS 2010