conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Bayesian Inference

5,566 papers

Papers per year

11
100
176
522
279
'05
'10
'15
'20
'25

Papers

Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM NIPS 2008
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NIPS 2008
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2 JMLR 2008
Maximal Causes for Non-linear Component Extraction JMLR 2008
Mixed Membership Stochastic Blockmodels JMLR 2008
Finding Optimal Bayesian Network Given a Super-Structure JMLR 2008
Automatic PCA Dimension Selection for High Dimensional Data and Small Sample Sizes JMLR 2008
Prior Data and Kernel Conditional Random Fields for Obstacle Detection RSS 2008
Adaptive Body Scheme Models for Robust Robotic Manipulation RSS 2008
Fast Probabilistic Labeling of City Maps RSS 2008
Laser and Vision Based Outdoor Object Mapping RSS 2008
An Analysis of Convex Relaxations for MAP Estimation NIPS 2007
Efficient Principled Learning of Thin Junction Trees NIPS 2007
Catching Up Faster in Bayesian Model Selection and Model Averaging NIPS 2007
Robust Regression with Twinned Gaussian Processes NIPS 2007
New Outer Bounds on the Marginal Polytope NIPS 2007
Neural characterization in partially observed populations of spiking neurons NIPS 2007
Bayesian Agglomerative Clustering with Coalescents NIPS 2007
Distributed Inference for Latent Dirichlet Allocation NIPS 2007
Bayesian Policy Learning with Trans-Dimensional MCMC NIPS 2007
Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach NIPS 2007
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior NIPS 2007
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis NIPS 2007
The Infinite Gamma-Poisson Feature Model NIPS 2007
Continuous Time Particle Filtering for fMRI NIPS 2007