Mathematics & Optimization

Improving Existing Fault Recovery Policies NeurIPS 2009 Information-theoretic lower bounds on the oracle complexity of convex optimization NeurIPS 2009 Inner sphere trees for proximity and penetration queries RSS 2009 Inter-domain Gaussian Processes for Sparse Inference using Inducing Features NeurIPS 2009 Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NeurIPS 2009 Kernels and learning curves for Gaussian process regression on random graphs NeurIPS 2009 Know Thy Neighbour: A Normative Theory of Synaptic Depression NeurIPS 2009 Large scale graph-based SLAM using aerial images as prior information RSS 2009 Lattice Regression NeurIPS 2009 Learning a Small Mixture of Trees NeurIPS 2009 Learning in Markov Random Fields using Tempered Transitions NeurIPS 2009 Learning Linear Ranking Functions for Beam Search with Application to Planning JMLR 2009 Learning Nondeterministic Classifiers JMLR 2009 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 Marginal Likelihood Integrals for Mixtures of Independence Models JMLR 2009 Matrix Completion from Noisy Entries NeurIPS 2009 Matrix Completion from Power-Law Distributed Samples NeurIPS 2009 Maximum likelihood trajectories for continuous-time Markov chains NeurIPS 2009 Multi-Label Prediction via Compressed Sensing NeurIPS 2009 Multiple Incremental Decremental Learning of Support Vector Machines NeurIPS 2009