Artificial Intelligence

Probabilistic n-Choose-k Models for Classification and Ranking NeurIPS 2012 Probabilistic Temporal Logic for Motion Planning with Resource Threshold Constraints RSS 2012 Projection Retrieval for Classification NeurIPS 2012 Protocols for Learning Classifiers on Distributed Data AISTATS 2012 Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders NeurIPS 2012 Putting Bayes to sleep NeurIPS 2012 Quantum Set Intersection and its Application to Associative Memory JMLR 2012 Random function priors for exchangeable arrays with applications to graphs and relational data NeurIPS 2012 Randomized Optimum Models for Structured Prediction AISTATS 2012 Random Utility Theory for Social Choice NeurIPS 2012 Rational inference of relative preferences NeurIPS 2012 Recognition, Prediction, and Planning for Assisted Teleoperation of Freeform Tasks RSS 2012 Recognizing Activities by Attribute Dynamics NeurIPS 2012 Relax and Randomize : From Value to Algorithms NeurIPS 2012 Repulsive Mixtures NeurIPS 2012 Rigidity Maintenance Control for Multi-Robot Systems RSS 2012 Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds NeurIPS 2012 Risk-Aversion in Multi-armed Bandits NeurIPS 2012 Robust Navigation Execution by Planning in Belief Space RSS 2012 Robustness and risk-sensitivity in Markov decision processes NeurIPS 2012 Scalable imputation of genetic data with a discrete fragmentation-coagulation process NeurIPS 2012 Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization NeurIPS 2012 Searching for objects driven by context NeurIPS 2012 Security Analysis of Online Centroid Anomaly Detection JMLR 2012 Selective Labeling via Error Bound Minimization NeurIPS 2012