Continuous Optimization

Nonconvex Matrix Completion with Linearly Parameterized Factors JMLR 2022 Nonnegative Tensor Completion via Integer Optimization NeurIPS 2022 Novel Min-Max Reformulations of Linear Inverse Problems JMLR 2022 NysADMM: faster composite convex optimization via low-rank approximation ICML 2022 On Acceleration for Convex Composite Minimization with Noise-Corrupted Gradients and Approximate Proximal Mapping JMLR 2022 On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems JMLR 2022 On Convergence of Gradient Descent Ascent: A Tight Local Analysis ICML 2022 On Convergence of Lookahead in Smooth Games AISTATS 2022 On Improving Resource Allocations by Sharing AAAI 2022 On Last-Iterate Convergence Beyond Zero-Sum Games ICML 2022 Online Convex Optimization with Hard Constraints: Towards the Best of Two Worlds and Beyond NeurIPS 2022 Online Frank-Wolfe with Arbitrary Delays NeurIPS 2022 Online Learning to Transport via the Minimal Selection Principle COLT 2022 Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications NeurIPS 2022 Online Mirror Descent and Dual Averaging: Keeping Pace in the Dynamic Case JMLR 2022 Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback ICML 2022 On Low-rank Trace Regression under General Sampling Distribution JMLR 2022 Only tails matter: Average-Case Universality and Robustness in the Convex Regime ICML 2022 On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity AISTATS 2022 On Regularized Square-root Regression Problems: Distributionally Robust Interpretation and Fast Computations JMLR 2022 On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms AISTATS 2022 On the Complexity of Approximating Multimarginal Optimal Transport JMLR 2022 On the complexity of the optimal transport problem with graph-structured cost AISTATS 2022 On the Convergence of Continuous Constrained Optimization for Structure Learning AISTATS 2022 On the Convergence of Inexact Predictor-Corrector Methods for Linear Programming ICML 2022