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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Interval Tracker: Tracking by Interval Analysis CVPR 2014
Complex Activity Recognition using Granger Constrained DBN (GCDBN) in Sports and Surveillance Video CVPR 2014
Beta-Negative Binomial Process and Exchangeable Random Partitions for Mixed-Membership Modeling NIPS 2014
The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification NIPS 2014
New Rules for Domain Independent Lifted MAP Inference NIPS 2014
Distributed Bayesian Posterior Sampling via Moment Sharing NIPS 2014
Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling NIPS 2014
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature NIPS 2014
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models NIPS 2014
Smoothed Gradients for Stochastic Variational Inference NIPS 2014
Bayesian Sampling Using Stochastic Gradient Thermostats NIPS 2014
Scalable Inference for Neuronal Connectivity from Calcium Imaging NIPS 2014
A framework for studying synaptic plasticity with neural spike train data NIPS 2014
Sparse Bayesian structure learning with “dependent relevance determination” priors NIPS 2014
Positive Curvature and Hamiltonian Monte Carlo NIPS 2014
Efficiency of conformalized ridge regression COLT 2014
Bayes-Optimal Scorers for Bipartite Ranking COLT 2014
Improving Prediction from Dirichlet Process Mixtures via Enrichment JMLR 2014
Fast Allocation of Gaussian Process Experts ICML 2014
Online Bayesian Passive-Aggressive Learning ICML 2014
Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach ICML 2014
Spherical Hamiltonian Monte Carlo for Constrained Target Distributions ICML 2014
Efficient Continuous-Time Markov Chain Estimation ICML 2014
Hamiltonian Monte Carlo Without Detailed Balance ICML 2014
Pitfalls in the use of Parallel Inference for the Dirichlet Process ICML 2014