Continuous Optimization

Energetically Optimal Action Potentials NeurIPS 2011 Greedy Algorithms for Structurally Constrained High Dimensional Problems NeurIPS 2011 Information Theoretical Clustering via Semidefinite Programming AISTATS 2011 Learning Auto-regressive Models from Sequence and Non-sequence Data NeurIPS 2011 Learning Scale Free Networks by Reweighted ℓ_1 regularization AISTATS 2011 Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning NeurIPS 2011 On the accuracy of l1-filtering of signals with block-sparse structure NeurIPS 2011 Optimal aggregation of affine estimators COLT 2011 Penalty Decomposition Methods for Rank Minimization NeurIPS 2011 Phase transition in the family of p-resistances NeurIPS 2011 Projection onto A Nonnegative Max-Heap NeurIPS 2011 Real-time prioritized kinematic control under inequality constraints for redundant manipulators RSS 2011 Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach JMLR 2011 Robust Approximate Bilinear Programming for Value Function Approximation JMLR 2011 RTRMC: A Riemannian trust-region method for low-rank matrix completion NeurIPS 2011 Semi-supervised Learning by Higher Order Regularization AISTATS 2011 Shaping Level Sets with Submodular Functions NeurIPS 2011 Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment NeurIPS 2011 Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation NeurIPS 2011 Sparse recovery by thresholded non-negative least squares NeurIPS 2011 Sparse Recovery with Brownian Sensing NeurIPS 2011 Statistical Optimization of Non-Negative Matrix Factorization AISTATS 2011 Statistical Performance of Convex Tensor Decomposition NeurIPS 2011 Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation JMLR 2011 Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification NeurIPS 2011