convex optimization

Maximum Margin Multi-Dimensional Classification AAAI 2020 Memoryless Sequences for General Losses JMLR 2020 MINA: Convex Mixed-Integer Programming for Non-Rigid Shape Alignment CVPR 2020 Minibatch Stochastic Approximate Proximal Point Methods NeurIPS 2020 Minibatch vs Local SGD for Heterogeneous Distributed Learning NeurIPS 2020 Minimizing Discrete Total Curvature for Image Processing CVPR 2020 Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks ICML 2020 On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond JMLR 2020 One Ring to Rule Them All: Certifiably Robust Geometric Perception with Outliers NeurIPS 2020 One Sample Stochastic Frank-Wolfe AISTATS 2020 Online Neural Connectivity Estimation with Noisy Group Testing NeurIPS 2020 On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent JMLR 2020 On the Convergence of Stochastic Gradient Descent with Low-Rank Projections for Convex Low-Rank Matrix Problems COLT 2020 Optimal Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization NeurIPS 2020 Optimistic robust linear quadratic dual control L4DC 2020 Optimized Score Transformation for Fair Classification AISTATS 2020 Piecewise Linear Regression via a Difference of Convex Functions ICML 2020 Positive Unlabeled Learning with Class-prior Approximation IJCAI 2020 Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method NeurIPS 2020 Provable Convex Co-clustering of Tensors JMLR 2020 Provable Overlapping Community Detection in Weighted Graphs NeurIPS 2020 Proximity Operator of the Matrix Perspective Function and its Applications NeurIPS 2020 Quadratic Decomposable Submodular Function Minimization: Theory and Practice JMLR 2020 Random Reshuffling: Simple Analysis with Vast Improvements NeurIPS 2020 Recovery of a Mixture of Gaussians by Sum-of-Norms Clustering JMLR 2020