convex optimization

Moreau-Yosida Regularization for Grouped Tree Structure Learning NeurIPS 2010 Near-Optimal Evasion of Convex-Inducing Classifiers AISTATS 2010 Network Flow Algorithms for Structured Sparsity NeurIPS 2010 Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable NeurIPS 2010 Occlusion Detection and Motion Estimation with Convex Optimization NeurIPS 2010 On the Convexity of Latent Social Network Inference NeurIPS 2010 Practical Large-Scale Optimization for Max-norm Regularization NeurIPS 2010 Random Conic Pursuit for Semidefinite Programming NeurIPS 2010 Relaxed Clipping: A Global Training Method for Robust Regression and Classification NeurIPS 2010 Robust PCA via Outlier Pursuit NeurIPS 2010 Semi-Supervised Learning via Generalized Maximum Entropy AISTATS 2010 Semi-Supervised Learning with Adversarially Missing Label Information NeurIPS 2010 Sidestepping Intractable Inference with Structured Ensemble Cascades NeurIPS 2010 Smoothness, Low Noise and Fast Rates NeurIPS 2010 Sparse Inverse Covariance Selection via Alternating Linearization Methods NeurIPS 2010 Sparse Semi-supervised Learning Using Conjugate Functions JMLR 2010 Spectral Regularization Algorithms for Learning Large Incomplete Matrices JMLR 2010 Structured sparsity-inducing norms through submodular functions NeurIPS 2010 Throttling Poisson Processes NeurIPS 2010 Topology Selection in Graphical Models of Autoregressive Processes JMLR 2010 Accelerated Gradient Methods for Stochastic Optimization and Online Learning NeurIPS 2009 A General Projection Property for Distribution Families NeurIPS 2009 Analysis of SVM with Indefinite Kernels NeurIPS 2009 Convex Relaxation of Mixture Regression with Efficient Algorithms NeurIPS 2009 Dual Averaging Method for Regularized Stochastic Learning and Online Optimization NeurIPS 2009