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Probabilistic Modeling

2,252 papers

Papers per year

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Papers

Mixed-Variate Restricted Boltzmann Machines ACML 2011
The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling AISTATS 2011
Generative Kernels for Exponential Families AISTATS 2011
Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees AISTATS 2011
Convergent Decomposition Solvers for Tree-reweighted Free Energies AISTATS 2011
On Time Varying Undirected Graphs AISTATS 2011
Approximate inference for the loss-calibrated Bayesian AISTATS 2011
Hidden-Unit Conditional Random Fields AISTATS 2011
Learning mixtures of Gaussians with maximum-a-posteriori oracle AISTATS 2011
Mixed Cumulative Distribution Networks AISTATS 2011
Kernel Belief Propagation AISTATS 2011
Hierarchical Probabilistic Models for Group Anomaly Detection AISTATS 2011
Collaborative Filtering with the Trace Norm: Learning, Bounding, and Transducing COLT 2011
In All Likelihood, Deep Belief Is Not Enough JMLR 2011
Probabilistic Analysis of Correctness of High-Level Robot Behavior with Sensor Error RSS 2011
Linear readout from a neural population with partial correlation data NIPS 2010
The Multidimensional Wisdom of Crowds NIPS 2010
MAP Estimation for Graphical Models by Likelihood Maximization NIPS 2010
Probabilistic Belief Revision with Structural Constraints NIPS 2010
Structured Determinantal Point Processes NIPS 2010
Evaluation of Rarity of Fingerprints in Forensics NIPS 2010
Variational bounds for mixed-data factor analysis NIPS 2010
Copula Bayesian Networks NIPS 2010
Group Sparse Coding with a Laplacian Scale Mixture Prior NIPS 2010
More data means less inference: A pseudo-max approach to structured learning NIPS 2010