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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)

Joint Modeling of a Matrix with Associated Text via Latent Binary Features NIPS 2012
Near-Optimal MAP Inference for Determinantal Point Processes NIPS 2012
Cost-Sensitive Exploration in Bayesian Reinforcement Learning NIPS 2012
MCMC for continuous-time discrete-state systems NIPS 2012
MAP Inference in Chains using Column Generation NIPS 2012
Cocktail Party Processing via Structured Prediction NIPS 2012
On the Sample Complexity of Robust PCA NIPS 2012
A Better Way to Pretrain Deep Boltzmann Machines NIPS 2012
The variational hierarchical EM algorithm for clustering hidden Markov models NIPS 2012
Bayesian nonparametric models for ranked data NIPS 2012
Multiresolution Gaussian Processes NIPS 2012
Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes NIPS 2012
Scalable imputation of genetic data with a discrete fragmentation-coagulation process NIPS 2012
Probabilistic n-Choose-k Models for Classification and Ranking NIPS 2012
Learning as MAP Inference in Discrete Graphical Models NIPS 2012
Repulsive Mixtures NIPS 2012
Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models NIPS 2012
Semi-Supervised Domain Adaptation with Non-Parametric Copulas NIPS 2012
Slice sampling normalized kernel-weighted completely random measure mixture models NIPS 2012
Monte Carlo Methods for Maximum Margin Supervised Topic Models NIPS 2012
A Marginalized Particle Gaussian Process Regression NIPS 2012
Training sparse natural image models with a fast Gibbs sampler of an extended state space NIPS 2012
Learning from Distributions via Support Measure Machines NIPS 2012
Bayesian Probabilistic Co-Subspace Addition NIPS 2012
From Deformations to Parts: Motion-based Segmentation of 3D Objects NIPS 2012