convex minimization

MixMin: Finding Data Mixtures via Convex Minimization ICML 2025 Continuous-Time Analysis of Accelerated Gradient Methods via Conservation Laws in Dilated Coordinate Systems ICML 2022 Frank-Wolfe with a Nearest Extreme Point Oracle COLT 2021 Stochastic $L^\natural$-convex Function Minimization NeurIPS 2021 FedSplit: an algorithmic framework for fast federated optimization NeurIPS 2020 Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization JMLR 2020 A2BCD: Asynchronous Acceleration with Optimal Complexity ICLR 2019 A Conditional-Gradient-Based Augmented Lagrangian Framework ICML 2019 Fast Decomposable Submodular Function Minimization using Constrained Total Variation NeurIPS 2019 Stochastic Frank-Wolfe for Composite Convex Minimization NeurIPS 2019 Direct Learning to Rank And Rerank AISTATS 2018 Stochastic Three-Composite Convex Minimization NeurIPS 2016 Trend Filtering on Graphs AISTATS 2015 Constrained convex minimization via model-based excessive gap NeurIPS 2014 Nonlinear Graph Sparsification for SLAM RSS 2014 Sparse Matrix Inversion with Scaled Lasso JMLR 2013 A quasi-Newton proximal splitting method NeurIPS 2012 Efficient Minimization of Decomposable Submodular Functions NeurIPS 2010 Ranking Individuals by Group Comparisons JMLR 2008 Convex Clustering with Exemplar-Based Models NeurIPS 2007 Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization JMLR 2006