Artificial Intelligence

Message Passing Inference for Large Scale Graphical Models with High Order Potentials NeurIPS 2014 Mind the Nuisance: Gaussian Process Classification using Privileged Noise NeurIPS 2014 Model-based Reinforcement Learning and the Eluder Dimension NeurIPS 2014 Model-Based Relational RL When Object Existence is Partially Observable ICML 2014 Modeling and Controlling Friendliness for An Interactive Museum Robot RSS 2014 Modeling Correlated Arrival Events with Latent Semi-Markov Processes ICML 2014 Modeling Deep Temporal Dependencies with Recurrent Grammar Cells"" NeurIPS 2014 Modeling High-Dimensional Humans for Activity Anticipation using Gaussian Process Latent CRFs RSS 2014 Model Transport: Towards Scalable Transfer Learning on Manifolds CVPR 2014 Multi-Heuristic A* RSS 2014 Multimodal Learning with Deep Boltzmann Machines JMLR 2014 Multimodal Neural Language Models ICML 2014 Multi-scale Graphical Models for Spatio-Temporal Processes NeurIPS 2014 Multiscale Topological Trajectory Classification with Persistent Homology RSS 2014 Multitask learning meets tensor factorization: task imputation via convex optimization NeurIPS 2014 Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations NeurIPS 2014 Multi-View Super Vector for Action Recognition CVPR 2014 Near-Optimally Teaching the Crowd to Classify ICML 2014 Near-optimal Reinforcement Learning in Factored MDPs NeurIPS 2014 Neural Variational Inference and Learning in Belief Networks ICML 2014 Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks NeurIPS 2014 New Rules for Domain Independent Lifted MAP Inference NeurIPS 2014 Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes ICML 2014 Non-Parametric Bayesian Constrained Local Models CVPR 2014 Nonparametric Bayesian inference on multivariate exponential families NeurIPS 2014