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Papers (including subtopics)

Learning Non-Linear Combinations of Kernels NeurIPS 2009 Learning Permutations with Exponential Weights JMLR 2009 Learning with Compressible Priors NeurIPS 2009 Local Rules for Global MAP: When Do They Work ? NeurIPS 2009 Low-Rank Kernel Learning with Bregman Matrix Divergences JMLR 2009 LQR-trees: Feedback motion planning on sparse randomized trees RSS 2009 Matrix Completion from Noisy Entries NeurIPS 2009 Matrix Completion from Power-Law Distributed Samples NeurIPS 2009 Multi-Label Prediction via Compressed Sensing NeurIPS 2009 Multiple Incremental Decremental Learning of Support Vector Machines NeurIPS 2009 Nash Equilibria of Static Prediction Games NeurIPS 2009 Noisy Generalized Binary Search NeurIPS 2009 Nonparametric Greedy Algorithms for the Sparse Learning Problem NeurIPS 2009 On Learning Rotations NeurIPS 2009 Online Learning of Assignments NeurIPS 2009 Online Learning with Sample Path Constraints JMLR 2009 On Stochastic and Worst-case Models for Investing NeurIPS 2009 On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation NeurIPS 2009 On the complexity of the set of three-finger caging grasps of convex polygons RSS 2009 On the Convergence of the Concave-Convex Procedure NeurIPS 2009 Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization JMLR 2009 Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis NeurIPS 2009 Particle Swarm Model Selection JMLR 2009 Positioning unmanned aerial vehicles as communication relays for surveillance tasks RSS 2009 Prediction With Expert Advice For The Brier Game JMLR 2009