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Probabilistic Modeling

2,599 papers

Papers per year

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Papers

Bayesian Nonparametric Comorbidity Analysis of Psychiatric Disorders JMLR 2014
Fully Simplified Multivariate Normal Updates in Non-Conjugate Variational Message Passing JMLR 2014
Particle Gibbs with Ancestor Sampling JMLR 2014
Efficient State-Space Inference of Periodic Latent Force Models JMLR 2014
Revisiting Bayesian Blind Deconvolution JMLR 2014
Batch Continuous-Time Trajectory Estimation as Exactly Sparse Gaussian Process Regression RSS 2014
Approximate Gaussian process inference for the drift function in stochastic differential equations NIPS 2013
A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles NIPS 2013
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks NIPS 2013
Learning to Pass Expectation Propagation Messages NIPS 2013
Integrated Non-Factorized Variational Inference NIPS 2013
Optimal integration of visual speed across different spatiotemporal frequency channels NIPS 2013
Tracking Time-varying Graphical Structure NIPS 2013
Scalable Inference for Logistic-Normal Topic Models NIPS 2013
Conditional Random Fields via Univariate Exponential Families NIPS 2013
Demixing odors - fast inference in olfaction NIPS 2013
When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity NIPS 2013
Restricting exchangeable nonparametric distributions NIPS 2013
On Poisson Graphical Models NIPS 2013
Efficient Optimization for Sparse Gaussian Process Regression NIPS 2013
Robust Low Rank Kernel Embeddings of Multivariate Distributions NIPS 2013
Approximate Inference in Continuous Determinantal Processes NIPS 2013
Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture NIPS 2013
Projecting Ising Model Parameters for Fast Mixing NIPS 2013
Modeling Overlapping Communities with Node Popularities NIPS 2013