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Continuous Optimization

3,907 papers

Papers per year

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155
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Papers

Design and Optimization Strategies for Muscle-Like Direct Drive Linear Permanent Magnet Motors RSS 2010
Incremental Sampling-based Algorithms for Optimal Motion Planning RSS 2010
Compressed Least-Squares Regression NIPS 2009
Directed Regression NIPS 2009
Fast, smooth and adaptive regression in metric spaces NIPS 2009
Sparse Metric Learning via Smooth Optimization NIPS 2009
Fast Image Deconvolution using Hyper-Laplacian Priors NIPS 2009
Compositionality of optimal control laws NIPS 2009
Efficient Recovery of Jointly Sparse Vectors NIPS 2009
Learning with Compressible Priors NIPS 2009
$L_1$-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry NIPS 2009
Analysis of SVM with Indefinite Kernels NIPS 2009
On Learning Rotations NIPS 2009
On the Convergence of the Concave-Convex Procedure NIPS 2009
Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation NIPS 2009
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NIPS 2009
Ensemble Nystrom Method NIPS 2009
Matrix Completion from Noisy Entries NIPS 2009
A Smoothed Approximate Linear Program NIPS 2009
Multiple Incremental Decremental Learning of Support Vector Machines NIPS 2009
An Analysis of Convex Relaxations for MAP Estimation of Discrete MRFs JMLR 2009
Data-driven Calibration of Penalties for Least-Squares Regression JMLR 2009
Low-Rank Kernel Learning with Bregman Matrix Divergences JMLR 2009
Deterministic Error Analysis of Support Vector Regression and Related Regularized Kernel Methods JMLR 2009
Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization JMLR 2009