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Probabilistic Modeling

363 directly classified papers

Papers per year

Papers

Inferring spike-timing-dependent plasticity from spike train data NIPS 2011
A concave regularization technique for sparse mixture models NIPS 2011
Kernel Embeddings of Latent Tree Graphical Models NIPS 2011
Collaborative Filtering with the Trace Norm: Learning, Bounding, and Transducing COLT 2011
In All Likelihood, Deep Belief Is Not Enough JMLR 2011
Quadratic Weighted Automata:Spectral Algorithm and Likelihood Maximization ACML 2011
Mixed-Variate Restricted Boltzmann Machines ACML 2011
Empirical models of spiking in neural populations NIPS 2011
Generative Kernels for Exponential Families AISTATS 2011
An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments NIPS 2011
Group Anomaly Detection using Flexible Genre Models NIPS 2011
On Causal Discovery with Cyclic Additive Noise Models NIPS 2011
Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines NIPS 2011
Linear readout from a neural population with partial correlation data NIPS 2010
Collaborative Filtering via Rating Concentration AISTATS 2010
Maximum-likelihood learning of cumulative distribution functions on graphs AISTATS 2010
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks AISTATS 2010
Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development NIPS 2010
Learning concept graphs from text with stick-breaking priors NIPS 2010
The Multidimensional Wisdom of Crowds NIPS 2010
Construction of Dependent Dirichlet Processes based on Poisson Processes NIPS 2010
Tree-Structured Stick Breaking for Hierarchical Data NIPS 2010
A Gaussian Tree Approximation for Integer Least-Squares NIPS 2009
Particle-based Variational Inference for Continuous Systems NIPS 2009
Replicated Softmax: an Undirected Topic Model NIPS 2009