subgradient descent

Constrained Online Convex Optimization with Polyak Feasibility Steps ICML 2025 Online Quantile Regression JMLR 2025 On the Convergence of Tâtonnement for Linear Fisher Markets AAAI 2025 Policy Optimization for Robust Average Reward MDPs NeurIPS 2024 Distributionally Robust Fair Principal Components via Geodesic Descents ICLR 2022 Parameter-Free Online Convex Optimization with Sub-Exponential Noise COLT 2019 Subgradient Descent Learns Orthogonal Dictionaries ICLR 2019 On Integrated Clustering and Outlier Detection NeurIPS 2014 Learning CRFs for Image Parsing with Adaptive Subgradient Descent ICCV 2013 Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets CVPR 2013 Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins NeurIPS 2012 An Extended Level Method for Efficient Multiple Kernel Learning NeurIPS 2008