Mathematics & Optimization

Multi Kernel Learning with Online-Batch Optimization JMLR 2012 Multi-objective Monte-Carlo Tree Search ACML 2012 Multiple Operator-valued Kernel Learning NeurIPS 2012 Multiresolution analysis on the symmetric group NeurIPS 2012 Multi-Stage Multi-Task Feature Learning NeurIPS 2012 Multi-Task Averaging NeurIPS 2012 Multi-task Vector Field Learning NeurIPS 2012 Near-Optimal Algorithms for Online Matrix Prediction COLT 2012 Near-optimal Differentially Private Principal Components NeurIPS 2012 Near-Optimal MAP Inference for Determinantal Point Processes NeurIPS 2012 Neuronal Spike Generation Mechanism as an Oversampling, Noise-shaping A-to-D converter NeurIPS 2012 Newton-Like Methods for Sparse Inverse Covariance Estimation NeurIPS 2012 No Internal Regret via Neighborhood Watch AISTATS 2012 Nonconvex Penalization Using Laplace Exponents and Concave Conjugates NeurIPS 2012 Non-parametric Approximate Dynamic Programming via the Kernel Method NeurIPS 2012 Nonparametric Estimation of Conditional Information and Divergences AISTATS 2012 No-Regret Algorithms for Unconstrained Online Convex Optimization NeurIPS 2012 Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison NeurIPS 2012 On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap AISTATS 2012 On Average Reward Policy Evaluation in Infinite-State Partially Observable Systems AISTATS 2012 On Bayesian Upper Confidence Bounds for Bandit Problems AISTATS 2012 On Bisubmodular Maximization AISTATS 2012 Online allocation and homogeneous partitioning for piecewise constant mean-approximation NeurIPS 2012 Online Clustering of Processes AISTATS 2012 Online L1-Dictionary Learning with Application to Novel Document Detection NeurIPS 2012