Showing 101–120 of 270 results
/ Date/ Name
Jan 31, 2023A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiserJan 7, 2023A Regularized Limited Memory Subspace Minimization Conjugate Gradient Method for Unconstrained OptimizationJan 4, 2023A Quantum Approach for Stochastic Constrained Binary OptimizationJan 4, 2023Scalable Optimal Design of Incremental Volt/VAR Control using Deep Neural NetworksNov 21, 2022Generating Linear programming Instances with Controllable Rank and Condition NumberNov 17, 2022Optimal Design of Volt/VAR Control Rules of Inverters using Deep LearningNov 4, 2022Accelerated projected gradient algorithms for sparsity constrained optimization problemsNov 2, 2022QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator LearningOct 6, 2022On the optimal pivot path of simplex method for linear programming based on reinforcement learningOct 4, 2022Optimal Persistent Monitoring of Mobile Targets in One DimensionSep 27, 2022Dueling Convex Optimization with General PreferencesSep 26, 2022On the Complexity of Deterministic Nonsmooth and Nonconvex OptimizationSep 12, 2022Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex OptimizationAug 20, 2022Adam Can Converge Without Any Modification On Update RulesJul 17, 2022SP2: A Second Order Stochastic Polyak MethodJul 15, 2022Role of Subgradients in Variational Analysis of Polyhedral FunctionsJun 9, 2022A Continuous-Time Perspective on Global Acceleration for Monotone Equation ProblemsJun 6, 2022Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret BoundsMay 28, 2022Efficient-Adam: Communication-Efficient Distributed AdamMay 6, 2022Perseus: A Simple and Optimal High-Order Method for Variational Inequalities