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Continuous Optimization

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Efficient Sparse Group Feature Selection via Nonconvex Optimization ICML 2013
Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization ICML 2013
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems ICML 2013
Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing ICML 2013
Sparse projections onto the simplex ICML 2013
Guaranteed Sparse Recovery under Linear Transformation ICML 2013
Local Deep Kernel Learning for Efficient Non-linear SVM Prediction ICML 2013
Computation-Risk Tradeoffs for Covariance-Thresholded Regression ICML 2013
Unifying Nuclear Norm and Bilinear Factorization Approaches for Low-Rank Matrix Decomposition ICCV 2013
A Control Framework for Tactile Servoing RSS 2013
Open Problem: Fast Stochastic Exp-Concave Optimization COLT 2013
Stress Functions for Nonlinear Dimension Reduction, Proximity Analysis, and Graph Drawing JMLR 2013
A Max-Norm Constrained Minimization Approach to 1-Bit Matrix Completion JMLR 2013
Recursive Estimation of the Stein Center of SPD Matrices and Its Applications ICCV 2013
PM-Huber: PatchMatch with Huber Regularization for Stereo Matching ICCV 2013
Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation ICCV 2013
Efficient Higher-Order Clustering on the Grassmann Manifold ICCV 2013
Exact Recovery of Sparsely-Used Dictionaries COLT 2012
Approximate Inference by Intersecting Semidefinite Bound and Local Polytope AISTATS 2012
Lifted Linear Programming AISTATS 2012
Regression for sets of polynomial equations AISTATS 2012
Variable Selection for Gaussian Graphical Models AISTATS 2012
Lifted coordinate descent for learning with trace-norm regularization AISTATS 2012
Generic Methods for Optimization-Based Modeling AISTATS 2012
Deterministic Annealing for Semi-Supervised Structured Output Learning AISTATS 2012