convex optimization

Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation CVPR 2017 ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization NeurIPS 2017 A General Characterization of the Statistical Query Complexity COLT 2017 A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization JMLR 2017 A New Alternating Direction Method for Linear Programming NeurIPS 2017 A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors CVPR 2017 Approximate Steepest Coordinate Descent ICML 2017 Breaking the Curse of Dimensionality with Convex Neural Networks JMLR 2017 Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery ICML 2017 COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution JMLR 2017 Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks NeurIPS 2017 Convex Global 3D Registration With Lagrangian Duality CVPR 2017 Convexified Convolutional Neural Networks ICML 2017 Convex Phase Retrieval without Lifting via PhaseMax ICML 2017 Convolutional Phase Retrieval NeurIPS 2017 Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search NeurIPS 2017 Designing Illuminant Spectral Power Distributions for Surface Classification CVPR 2017 Differentially Private Empirical Risk Minimization Revisited: Faster and More General NeurIPS 2017 Distributed Accelerated Proximal Coordinate Gradient Methods IJCAI 2017 Distributed Stochastic Variance Reduced Gradient Methods by Sampling Extra Data with Replacement JMLR 2017 Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization ICML 2017 Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections, Insights, and Extensions NeurIPS 2017 Efficient Distributed Learning with Sparsity ICML 2017 Efficient Private ERM for Smooth Objectives IJCAI 2017 Elementary Symmetric Polynomials for Optimal Experimental Design NeurIPS 2017