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Bayesian & Probabilistic

4,335 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,599) Bayesian Learning (1,663) Bayesian Inference (523) Variational Inference (107) Gaussian Processes (6) Bayesian Networks (5)

Papers per year

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Papers (including subtopics)

Learning with Tree-Averaged Densities and Distributions NIPS 2007
Variational inference for Markov jump processes NIPS 2007
Expectation Maximization and Posterior Constraints NIPS 2007
On Sparsity and Overcompleteness in Image Models NIPS 2007
A Bayesian LDA-based model for semi-supervised part-of-speech tagging NIPS 2007
Efficient multiple hyperparameter learning for log-linear models NIPS 2007
Discovering Weakly-Interacting Factors in a Complex Stochastic Process NIPS 2007
Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks NIPS 2007
Efficient Bayesian Inference for Dynamically Changing Graphs NIPS 2007
Markov Chain Monte Carlo with People NIPS 2007
Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations NIPS 2007
Hidden Common Cause Relations in Relational Learning NIPS 2007
The Generalized FITC Approximation NIPS 2007
CPR for CSPs: A Probabilistic Relaxation of Constraint Propagation NIPS 2007
A New View of Automatic Relevance Determination NIPS 2007
Sequential Hypothesis Testing under Stochastic Deadlines NIPS 2007
TrueSkill Through Time: Revisiting the History of Chess NIPS 2007
Optimal models of sound localization by barn owls NIPS 2007
Exponential Family Predictive Representations of State NIPS 2007
Fast Variational Inference for Large-scale Internet Diagnosis NIPS 2007
The Infinite Markov Model NIPS 2007
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NIPS 2007
Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations NIPS 2007
Message Passing for Max-weight Independent Set NIPS 2007
Comparing Bayesian models for multisensory cue combination without mandatory integration NIPS 2007