Continuous Optimization

Deterministic Error Analysis of Support Vector Regression and Related Regularized Kernel Methods JMLR 2009 Directed Regression NeurIPS 2009 Efficient Recovery of Jointly Sparse Vectors NeurIPS 2009 Ensemble Nystrom Method NeurIPS 2009 Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NeurIPS 2009 Fast Image Deconvolution using Hyper-Laplacian Priors NeurIPS 2009 Fast, smooth and adaptive regression in metric spaces NeurIPS 2009 Generalized-ICP RSS 2009 Inner sphere trees for proximity and penetration queries RSS 2009 Learning with Compressible Priors 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 Multiple Incremental Decremental Learning of Support Vector Machines NeurIPS 2009 On Learning Rotations NeurIPS 2009 On the Convergence of the Concave-Convex Procedure NeurIPS 2009 Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization JMLR 2009 Sparse Metric Learning via Smooth Optimization NeurIPS 2009 Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation NeurIPS 2009 Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes NeurIPS 2008 A Convex Upper Bound on the Log-Partition Function for Binary Distributions NeurIPS 2008 Adapting to a Market Shock: Optimal Sequential Market-Making NeurIPS 2008 Adaptive Template Matching with Shift-Invariant Semi-NMF NeurIPS 2008 A Numerically Robust LCP Solver for Simulating Articulated Rigid Bodies in Contact RSS 2008 Bayesian Experimental Design of Magnetic Resonance Imaging Sequences NeurIPS 2008