Artificial Intelligence

Minimizing Uncertainty in Pipelines NeurIPS 2012 Mirror Descent Meets Fixed Share (and feels no regret) NeurIPS 2012 Mixability in Statistical Learning NeurIPS 2012 Modelling Reciprocating Relationships with Hawkes Processes NeurIPS 2012 Monte Carlo Methods for Maximum Margin Supervised Topic Models NeurIPS 2012 Multi-criteria Anomaly Detection using Pareto Depth Analysis NeurIPS 2012 Multilabel Classification using Bayesian Compressed Sensing NeurIPS 2012 Multimodal Learning with Deep Boltzmann Machines NeurIPS 2012 Multi-objective Monte-Carlo Tree Search ACML 2012 Multiple Operator-valued Kernel Learning NeurIPS 2012 Multiplicative Forests for Continuous-Time Processes NeurIPS 2012 Multiresolution Gaussian Processes NeurIPS 2012 Multi-Stage Multi-Task Feature Learning NeurIPS 2012 Multi-Task Averaging NeurIPS 2012 Multi-task Vector Field Learning NeurIPS 2012 Near-Optimal MAP Inference for Determinantal Point Processes NeurIPS 2012 Neurally Plausible Reinforcement Learning of Working Memory Tasks NeurIPS 2012 Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics JMLR 2012 Nonconvex Penalization Using Laplace Exponents and Concave Conjugates NeurIPS 2012 Non-parametric Approximate Dynamic Programming via the Kernel Method NeurIPS 2012 Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions NeurIPS 2012 Nonparametric Bayesian Models for Unsupervised Scene Analysis and Reconstruction RSS 2012 Nonparametric Guidance of Autoencoder Representations using Label Information JMLR 2012 Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction NeurIPS 2012 Nonparanormal Belief Propagation (NPNBP) NeurIPS 2012