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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)

Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays ACML 2016
Learning Bayesian networks with ancestral constraints NIPS 2016
Variational Inference in Mixed Probabilistic Submodular Models NIPS 2016
Consistent Kernel Mean Estimation for Functions of Random Variables NIPS 2016
Completely random measures for modelling block-structured sparse networks NIPS 2016
Learning Granger Causality for Hawkes Processes ICML 2016
Class-prior Estimation for Learning from Positive and Unlabeled Data ACML 2015
Lifelong Learning with Non-i.i.d. Tasks NIPS 2015
Joint Probabilistic Data Association Revisited ICCV 2015
Infinite Factorial Dynamical Model NIPS 2015
The Human Kernel NIPS 2015
Fast Second Order Stochastic Backpropagation for Variational Inference NIPS 2015
Variational Consensus Monte Carlo NIPS 2015
A Complete Recipe for Stochastic Gradient MCMC NIPS 2015
Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes NIPS 2015
Efficient Second-Order Gradient Boosting for Conditional Random Fields AISTATS 2015
Automatic Variational Inference in Stan NIPS 2015
Learning Bayesian Networks with Thousands of Variables NIPS 2015
Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models NIPS 2015
Reified Context Models ICML 2015
Probabilistic Line Searches for Stochastic Optimization NIPS 2015
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution NIPS 2015
Transformation of Markov Random Fields for Marginal Distribution Estimation CVPR 2015
On some provably correct cases of variational inference for topic models NIPS 2015
Learning structured densities via infinite dimensional exponential families NIPS 2015