Artificial Intelligence

Oger: Modular Learning Architectures For Large-Scale Sequential Processing JMLR 2012 On Average Reward Policy Evaluation in Infinite-State Partially Observable Systems AISTATS 2012 On Lifting the Gibbs Sampling Algorithm NeurIPS 2012 Online Sum-Product Computation Over Trees NeurIPS 2012 On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference RSS 2012 On the connections between saliency and tracking NeurIPS 2012 On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes NeurIPS 2012 Open Problem: Learning Dynamic Network Models from a Static Snapshot COLT 2012 Optimal Control with Weighted Average Costs and Temporal Logic Specifications RSS 2012 Optimal Distributed Online Prediction Using Mini-Batches JMLR 2012 Optimistic planning for Markov decision processes AISTATS 2012 Optimization-Based Estimator Design for Vision-Aided Inertial Navigation RSS 2012 Pattern for Python JMLR 2012 Perceptron Learning of SAT NeurIPS 2012 Perfect Dimensionality Recovery by Variational Bayesian PCA NeurIPS 2012 Persistent Homology for Learning Densities with Bounded Support NeurIPS 2012 Physics-Based Grasp Planning Through Clutter RSS 2012 Practical Bayesian Optimization of Machine Learning Algorithms NeurIPS 2012 Predicting Action Content On-Line and in Real Time before Action Onset – an Intracranial Human Study NeurIPS 2012 Priors for Diversity in Generative Latent Variable Models NeurIPS 2012 Privacy Aware Learning NeurIPS 2012 Probabilistic acoustic tube: a probabilistic generative model of speech for speech analysis/synthesis AISTATS 2012 Probabilistic Event Cascades for Alzheimer's disease NeurIPS 2012 Probabilistic Low-Rank Subspace Clustering NeurIPS 2012 Probabilistic Modeling of Human Movements for Intention Inference RSS 2012