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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)

Bayesian Nonparametric Crowdsourcing JMLR 2015
Concave Penalized Estimation of Sparse Gaussian Bayesian Networks JMLR 2015
The Libra Toolkit for Probabilistic Models JMLR 2015
Bayesian Nonparametric Covariance Regression JMLR 2015
Graphical Models via Univariate Exponential Family Distributions JMLR 2015
IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation RSS 2015
A New Perspective and Extension of the Gaussian Filter RSS 2015
rCRF: Recursive Belief Estimation over CRFs in RGB-D Activity Videos RSS 2015
Spatio-temporal Representations of Uncertainty in Spiking Neural Networks NIPS 2014
Clustered factor analysis of multineuronal spike data NIPS 2014
Beta-Negative Binomial Process and Exchangeable Random Partitions for Mixed-Membership Modeling NIPS 2014
Gaussian Process Volatility Model NIPS 2014
Dependent nonparametric trees for dynamic hierarchical clustering NIPS 2014
Distance-Based Network Recovery under Feature Correlation NIPS 2014
A Complete Variational Tracker NIPS 2014
Sequential Monte Carlo for Graphical Models NIPS 2014
Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data NIPS 2014
A Framework for Testing Identifiability of Bayesian Models of Perception NIPS 2014
Spectral Methods for Indian Buffet Process Inference NIPS 2014
On Sparse Gaussian Chain Graph Models NIPS 2014
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models NIPS 2014
Causal Inference through a Witness Protection Program NIPS 2014
Augur: Data-Parallel Probabilistic Modeling NIPS 2014
Hardness of parameter estimation in graphical models NIPS 2014
Decoupled Variational Gaussian Inference NIPS 2014