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probabilistic modeling

851 papers

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PM

Co-occurring keywords

bayesian inference (1904) variational inference (2069) probabilistic model (476) graphical model (863) uncertainty quantification (1365) generative model (2889) bayesian network (378) causal inference (1619) latent variable model (564) probabilistic inference (310)

Papers

Predictive Matrix-Variate t Models NIPS 2007
A Bayesian Model of Conditioned Perception NIPS 2007
TrueSkill Through Time: Revisiting the History of Chess NIPS 2007
Modeling Dyadic Data with Binary Latent Factors NIPS 2006
Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure NIPS 2006
Some Discriminant-Based PAC Algorithms JMLR 2006
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation NIPS 2006
Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks NIPS 2006
Non-rigid point set registration: Coherent Point Drift NIPS 2006
Combining causal and similarity-based reasoning NIPS 2006
Multi-dynamic Bayesian Networks NIPS 2006
Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation JMLR 2006
The Identity Management Kalman Filter (IMKF) RSS 2006
Context Effects in Category Learning: An Investigation of Four Probabilistic Models NIPS 2006
Learning to be Bayesian without Supervision NIPS 2006
TrueSkill™: A Bayesian Skill Rating System NIPS 2006
Game Theoretic Algorithms for Protein-DNA binding NIPS 2006
A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments NIPS 2006
Learning Module Networks JMLR 2005
Expectation Consistent Approximate Inference JMLR 2005
Estimation of Non-Normalized Statistical Models by Score Matching JMLR 2005
A Unified Framework for Model-based Clustering JMLR 2003
Combining Knowledge from Different Sources in Causal Probabilistic Models JMLR 2003
Optimality of Universal Bayesian Sequence Prediction for General Loss and Alphabet JMLR 2003
Beyond Independent Components: Trees and Clusters JMLR 2003