Mathematics & Optimization

Locating Changes in Highly Dependent Data with Unknown Number of Change Points NeurIPS 2012 Low rank continuous-space graphical models AISTATS 2012 Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning JMLR 2012 MAP Inference in Chains using Column Generation NeurIPS 2012 Matrix reconstruction with the local max norm NeurIPS 2012 MCMC for continuous-time discrete-state systems NeurIPS 2012 Memory-efficient inference in dynamic graphical models using multiple cores AISTATS 2012 Meta-Gaussian Information Bottleneck NeurIPS 2012 Minimal Coordinate Formulation of Contact Dynamics in Operational Space RSS 2012 Minimax Manifold Estimation JMLR 2012 Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL NeurIPS 2012 Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming JMLR 2012 Minimax rates for homology inference AISTATS 2012 Minimax Rates of Estimation for Sparse PCA in High Dimensions AISTATS 2012 Minimization of Continuous Bethe Approximations: A Positive Variation NeurIPS 2012 Minimizing Sparse High-Order Energies by Submodular Vertex-Cover NeurIPS 2012 Minimizing Uncertainty in Pipelines NeurIPS 2012 Mirror Descent Meets Fixed Share (and feels no regret) NeurIPS 2012 Mixability in Statistical Learning NeurIPS 2012 Mixability is Bayes Risk Curvature Relative to Log Loss JMLR 2012 Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions NeurIPS 2012 Modelling Reciprocating Relationships with Hawkes Processes NeurIPS 2012 Multi-armed Bandit Problems with History AISTATS 2012 Multiclass Learning with Simplex Coding NeurIPS 2012 Multi-criteria Anomaly Detection using Pareto Depth Analysis NeurIPS 2012