conftrace_
← Bayesian & Probabilistic
Artificial Intelligence › Bayesian & Probabilistic ›

Bayesian Learning

1,663 papers

Papers per year

2
48
52
137
36
'05
'10
'15
'20
'25

Papers

Infinite Markov-Switching Maximum Entropy Discrimination Machines ICML 2013
Kernelized Bayesian Matrix Factorization ICML 2013
Dependent Normalized Random Measures ICML 2013
The Extended Parameter Filter ICML 2013
Adaptive Hamiltonian and Riemann Manifold Monte Carlo ICML 2013
Sparse Single-Index Model JMLR 2013
A Framework for Evaluating Approximation Methods for Gaussian Process Regression JMLR 2013
Bayesian Nonparametric Hidden Semi-Markov Models JMLR 2013
Quasi-Newton Method: A New Direction JMLR 2013
A Widely Applicable Bayesian Information Criterion JMLR 2013
GPstuff: Bayesian Modeling with Gaussian Processes JMLR 2013
Language-Motivated Approaches to Action Recognition JMLR 2013
Bayesian Fusion for Multi-Modal Aerial Images RSS 2013
Practical Bayesian Optimization of Machine Learning Algorithms NIPS 2012
Bayesian nonparametric models for bipartite graphs NIPS 2012
Truncation-free Online Variational Inference for Bayesian Nonparametric Models NIPS 2012
Bayesian estimation of discrete entropy with mixtures of stick-breaking priors NIPS 2012
Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints NIPS 2012
Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions NIPS 2012
A Bayesian Approach for Policy Learning from Trajectory Preference Queries NIPS 2012
Coupling Nonparametric Mixtures via Latent Dirichlet Processes NIPS 2012
Perfect Dimensionality Recovery by Variational Bayesian PCA NIPS 2012
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NIPS 2012
Dual-Space Analysis of the Sparse Linear Model NIPS 2012
Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models NIPS 2012