Artificial Intelligence

From Categories to Individuals in Real Time -- A Unified Boosting Approach CVPR 2014 From MAP to Marginals: Variational Inference in Bayesian Submodular Models NeurIPS 2014 From Stochastic Grammar to Bayes Network: Probabilistic Parsing of Complex Activity CVPR 2014 Fully Simplified Multivariate Normal Updates in Non-Conjugate Variational Message Passing JMLR 2014 Gaussian Approximation of Collective Graphical Models ICML 2014 Gaussian Process Classification and Active Learning with Multiple Annotators ICML 2014 Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations ICML 2014 Gaussian Process Volatility Model NeurIPS 2014 General Table Completion using a Bayesian Nonparametric Model NeurIPS 2014 Generating Efficient MCMC Kernels from Probabilistic Programs AISTATS 2014 Gibbs Max-margin Topic Models with Data Augmentation JMLR 2014 Global Belief Recursive Neural Networks NeurIPS 2014 Global Sensitivity Analysis for MAP Inference in Graphical Models NeurIPS 2014 Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically ICML 2014 Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data NeurIPS 2014 Ground Plane Estimation using a Hidden Markov Model CVPR 2014 Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models NeurIPS 2014 Hardness of parameter estimation in graphical models NeurIPS 2014 Hierarchical Conditional Random Fields for Outlier Detection: An Application to Detecting Epileptogenic Cortical Malformations ICML 2014 Hierarchical Dirichlet Scaling Process ICML 2014 High-Dimensional Learning of Linear Causal Networks via Inverse Covariance Estimation JMLR 2014 Higher-Order Regret Bounds with Switching Costs COLT 2014 How hard is my MDP?" The distribution-norm to the rescue" NeurIPS 2014 Human vs. Computer in Scene and Object Recognition CVPR 2014 Hybrid Discriminative-Generative Approach with Gaussian Processes AISTATS 2014