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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)

Energetic Natural Gradient Descent ICML 2016
Exact Inference on Gaussian Graphical Models of Arbitrary Topology using Path-Sums JMLR 2016
Improving Distributed Word Representation and Topic Model by Word-Topic Mixture Model ACML 2016
Natural-Parameter Networks: A Class of Probabilistic Neural Networks NIPS 2016
Multi-Label Classification with Cutset Networks PGM 2016
A Bayesian Nonparametric Approach for Multi-label Classification ACML 2016
Generalized Direct Change Estimation in Ising Model Structure ICML 2016
A Distribution-based Model to Learn Bilingual Word Embeddings COLING 2016
Kronecker Determinantal Point Processes NIPS 2016
Joint Bayesian Modelling of Internal Dependencies and Relevant Multimorbidities of a Heterogeneous Disease PGM 2016
On collapsed representation of hierarchical Completely Random Measures ICML 2016
Exact Inference on Conditional Linear Γ-Gaussian Bayesian Networks PGM 2016
Online Trans-dimensional von Mises-Fisher Mixture Models for User Profiles JMLR 2016
Learning under uncertainty: a comparison between R-W and Bayesian approach NIPS 2016
D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities COLING 2016
A Bayesian model for joint word alignment and part-of-speech transfer COLING 2016
Computing Lower and Upper Bounds on the Probability of Causal Statements PGM 2016
Probabilistic Prototype Model for Serendipitous Property Mining COLING 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks NIPS 2016
Contrasting Vertical and Horizontal Transmission of Typological Features COLING 2016
An Exact Approach to Learning Probabilistic Relational Model PGM 2016
Uprooting and Rerooting Graphical Models ICML 2016
Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing JMLR 2016
Bayesian Networks: a Combined Tuning Heuristic PGM 2016
A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification NIPS 2016