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Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing JMLR 2016
Exact Inference on Gaussian Graphical Models of Arbitrary Topology using Path-Sums JMLR 2016
Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis CVPR 2016
Clinical Tagging with Joint Probabilistic Models MLHC 2016
Gaussian Processes for Survival Analysis NIPS 2016
Edge-exchangeable graphs and sparsity NIPS 2016
Inference by Reparameterization in Neural Population Codes NIPS 2016
DISCO Nets : DISsimilarity COefficients Networks NIPS 2016
Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood ICML 2015
Associative Memory via a Sparse Recovery Model NIPS 2015
Barrier Frank-Wolfe for Marginal Inference NIPS 2015
Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices AISTATS 2015
Segregated Graphs and Marginals of Chain Graph Models NIPS 2015
GP Kernels for Cross-Spectrum Analysis NIPS 2015
Gaussian Process Random Fields NIPS 2015
Softstar: Heuristic-Guided Probabilistic Inference NIPS 2015
Bounding the Cost of Search-Based Lifted Inference NIPS 2015
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM) NIPS 2015
Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression NIPS 2015
Expectation Particle Belief Propagation NIPS 2015
Learning structured densities via infinite dimensional exponential families NIPS 2015
MCMC Learning COLT 2015
Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes NIPS 2015
Fast Lifted MAP Inference via Partitioning NIPS 2015
Vector-Valued Property Elicitation COLT 2015