convex optimization

Nuclear Norm Minimization via Active Subspace Selection ICML 2014 On Sparse Gaussian Chain Graph Models NeurIPS 2014 On the Convergence Rate of Decomposable Submodular Function Minimization NeurIPS 2014 Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection NeurIPS 2014 Orbit Regularization NeurIPS 2014 Parallel Direction Method of Multipliers NeurIPS 2014 Partition-wise Linear Models NeurIPS 2014 Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction CVPR 2014 Provable Submodular Minimization using Wolfe's Algorithm NeurIPS 2014 QUIC: Quadratic Approximation for Sparse Inverse Covariance Estimation JMLR 2014 Robust Logistic Regression and Classification NeurIPS 2014 SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives NeurIPS 2014 Scalable Kernel Methods via Doubly Stochastic Gradients NeurIPS 2014 Scalable Semidefinite Relaxation for Maximum A Posterior Estimation ICML 2014 Segmentation-Free Dynamic Scene Deblurring CVPR 2014 Separable Kernel for Image Deblurring CVPR 2014 Shaping Social Activity by Incentivizing Users NeurIPS 2014 Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation NeurIPS 2014 Sparse Reinforcement Learning via Convex Optimization ICML 2014 Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm NeurIPS 2014 The Coherent Loss Function for Classification ICML 2014 The Complexity of Learning Halfspaces using Generalized Linear Methods COLT 2014 The limits of squared Euclidean distance regularization NeurIPS 2014 Tight convex relaxations for sparse matrix factorization NeurIPS 2014 Time--Data Tradeoffs by Aggressive Smoothing NeurIPS 2014