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Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

Efficient Relational Learning with Hidden Variable Detection NIPS 2010
A New Probabilistic Model for Rank Aggregation NIPS 2010
The Neural Costs of Optimal Control NIPS 2010
Bayesian Action-Graph Games NIPS 2010
Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks NIPS 2010
Movement extraction by detecting dynamics switches and repetitions 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
More data means less inference: A pseudo-max approach to structured learning NIPS 2010
Lifted Inference Seen from the Other Side : The Tractable Features NIPS 2010
Sparse Instrumental Variables (SPIV) for Genome-Wide Studies NIPS 2010
Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning NIPS 2010
Gaussian Process Preference Elicitation NIPS 2010
Improvements to the Sequence Memoizer NIPS 2010
Implicit Differentiation by Perturbation NIPS 2010
Deterministic Single-Pass Algorithm for LDA NIPS 2010
Heavy-Tailed Process Priors for Selective Shrinkage NIPS 2010
On Combining Graph-based Variance Reduction schemes AISTATS 2010
Construction of Dependent Dirichlet Processes based on Poisson Processes NIPS 2010
Learning Non-Stationary Dynamic Bayesian Networks JMLR 2010
Shadow Dirichlet for Restricted Probability Modeling NIPS 2010
State-Space Inference and Learning with Gaussian Processes AISTATS 2010
Bayesian Gaussian Process Latent Variable Model AISTATS 2010
Hierarchical Gaussian Process Regression ACML 2010