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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Multiscale Community Blockmodel for Network Exploration AISTATS 2011
The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling AISTATS 2011
The Sample Complexity of Self-Verifying Bayesian Active Learning AISTATS 2011
Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities AISTATS 2011
Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference AISTATS 2011
Approximate inference for the loss-calibrated Bayesian AISTATS 2011
Switch-Reset Models : Exact and Approximate Inference AISTATS 2011
An ideal observer model for identifying the reference frame of objects NIPS 2011
Gaussian process modulated renewal processes NIPS 2011
Contextual Gaussian Process Bandit Optimization NIPS 2011
Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent NIPS 2011
A Global Structural EM Algorithm for a Model of Cancer Progression NIPS 2011
Practical Variational Inference for Neural Networks NIPS 2011
Non-conjugate Variational Message Passing for Multinomial and Binary Regression NIPS 2011
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron NIPS 2011
Inference in continuous-time change-point models NIPS 2011
Quasi-Newton Methods for Markov Chain Monte Carlo NIPS 2011
An Empirical Evaluation of Thompson Sampling NIPS 2011
Optimal Reinforcement Learning for Gaussian Systems NIPS 2011
Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery NIPS 2011
Learning unbelievable probabilities NIPS 2011
Inferring Interaction Networks using the IBP applied to microRNA Target Prediction NIPS 2011
A Model for Temporal Dependencies in Event Streams NIPS 2011
Crowdclustering NIPS 2011
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NIPS 2011