Continuous Optimization

Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming JMLR 2012 Multiple Operator-valued Kernel Learning NeurIPS 2012 Multi-Task Averaging NeurIPS 2012 Newton-Like Methods for Sparse Inverse Covariance Estimation NeurIPS 2012 Nonconvex Penalization Using Laplace Exponents and Concave Conjugates NeurIPS 2012 Non-parametric Approximate Dynamic Programming via the Kernel Method NeurIPS 2012 No-Regret Algorithms for Unconstrained Online Convex Optimization NeurIPS 2012 On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap AISTATS 2012 On the Structure of Nonlinearities in Pose Graph SLAM RSS 2012 Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum L_p Loss NeurIPS 2012 Persistent Homology for Learning Densities with Bounded Support NeurIPS 2012 Primal-Dual methods for sparse constrained matrix completion AISTATS 2012 Proximal Newton-type methods for convex optimization NeurIPS 2012 Recovery of Sparse Probability Measures via Convex Programming NeurIPS 2012 Regression for sets of polynomial equations AISTATS 2012 Regularization Paths with Guarantees for Convex Semidefinite Optimization AISTATS 2012 Regularized Bundle Methods for Convex and Non-Convex Risks JMLR 2012 Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise JMLR 2012 Sampling Methods for the Nyström Method JMLR 2012 Scalable nonconvex inexact proximal splitting NeurIPS 2012 Scaled Gradients on Grassmann Manifolds for Matrix Completion NeurIPS 2012 Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization NeurIPS 2012 Smoothing Multivariate Performance Measures JMLR 2012 Sparse and Unique Nonnegative Matrix Factorization Through Data Preprocessing JMLR 2012 Sparse Approximate Manifolds for Differential Geometric MCMC NeurIPS 2012