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Continuous Optimization

3,907 papers

Papers per year

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38
155
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Papers

The FASTCLIME Package for Linear Programming and Large-Scale Precision Matrix Estimation in R JMLR 2014
A Novel M-Estimator for Robust PCA JMLR 2014
Natural Evolution Strategies JMLR 2014
Ellipsoidal Rounding for Nonnegative Matrix Factorization Under Noisy Separability JMLR 2014
Robust Near-Separable Nonnegative Matrix Factorization Using Linear Optimization JMLR 2014
Manopt, a Matlab Toolbox for Optimization on Manifolds JMLR 2014
Iteration Complexity of Feasible Descent Methods for Convex Optimization JMLR 2014
Ramp Loss Linear Programming Support Vector Machine JMLR 2014
Clustering Partially Observed Graphs via Convex Optimization JMLR 2014
Beyond the Regret Minimization Barrier: Optimal Algorithms for Stochastic Strongly-Convex Optimization JMLR 2014
Efficient and Accurate Methods for Updating Generalized Linear Models with Multiple Feature Additions JMLR 2014
QUIC: Quadratic Approximation for Sparse Inverse Covariance Estimation JMLR 2014
Learning Graphical Models With Hubs JMLR 2014
Matrix Completion with the Trace Norm: Learning, Bounding, and Transducing JMLR 2014
Alternating Linearization for Structured Regularization Problems JMLR 2014
Control of Robotic Mobility-On-Demand Systems: a Queueing-Theoretical Perspective RSS 2014
Stiction Compensation in Agonist-Antagonist Variable Stiffness Actuators RSS 2014
Learning to locate from demonstrated searches RSS 2014
An Online Sparsity-Cognizant Loop-Closure Algorithm for Visual Navigation RSS 2014
Nonlinear Graph Sparsification for SLAM RSS 2014
An Automata-Theoretic Approach to the Vehicle Routing Problem RSS 2014
Convex Tensor Decomposition via Structured Schatten Norm Regularization NIPS 2013
Multiclass Total Variation Clustering NIPS 2013
Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors NIPS 2013
BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NIPS 2013