convex optimization

Re-revisiting Learning on Hypergraphs: Confidence Interval and Subgradient Method ICML 2017 Robust Discriminative Clustering with Sparse Regularizers JMLR 2017 Scalable Convex Multiple Sequence Alignment via Entropy-Regularized Dual Decomposition AISTATS 2017 Second-Order Stochastic Optimization for Machine Learning in Linear Time JMLR 2017 Sharpness, Restart and Acceleration NeurIPS 2017 Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging ICML 2017 Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage AISTATS 2017 Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization NeurIPS 2017 SnapVX: A Network-Based Convex Optimization Solver JMLR 2017 Soft Margin Support Vector Classification as Buffered Probability Minimization JMLR 2017 Stochastic Composite Least-Squares Regression with Convergence Rate $O(1/n)$ COLT 2017 Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization JMLR 2017 SVD-Based Screening for the Graphical Lasso IJCAI 2017 SVD-free Convex-Concave Approaches for Nuclear Norm Regularization IJCAI 2017 Tensor Decomposition with Smoothness ICML 2017 The Sample Complexity of Optimizing a Convex Function COLT 2017 Tight Bounds for Approximate Carathéodory and Beyond ICML 2017 Top-k Supervise Feature Selection via ADMM for Integer Programming IJCAI 2017 Training Deep Networks without Learning Rates Through Coin Betting NeurIPS 2017 Training Quantized Nets: A Deeper Understanding NeurIPS 2017 Trimmed Density Ratio Estimation NeurIPS 2017 Truncated Max-Of-Convex Models CVPR 2017 Two New Approaches to Compressed Sensing Exhibiting Both Robust Sparse Recovery and the Grouping Effect JMLR 2017 Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays NeurIPS 2017 Unsupervised Transformation Learning via Convex Relaxations NeurIPS 2017