Showing 81–100 of 270 results
/ Date/ Name
Mar 21, 2024Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural NetworkFeb 29, 2024Analysis of Kernel Mirror Prox for Measure OptimizationFeb 19, 2024Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian SamplingJan 31, 2024Bayesian Learning in Mean Field GamesJan 29, 2024Zero-sum Random Games on Directed GraphsJan 29, 2024CMA-ES with Learning Rate AdaptationDec 22, 2023A Gradient-Based Optimization Method Using the Koopman OperatorDec 4, 2023Unique determination of cost functions in a multipopulation mean field game modelNov 2, 2023Convergent plug-and-play with proximal denoiser and unconstrained regularization parameterOct 21, 2023A Specialized Semismooth Newton Method for Kernel-Based Optimal TransportOct 21, 2023Adaptive, Doubly Optimal No-Regret Learning in Strongly Monotone and Exp-Concave Games with Gradient FeedbackSep 16, 2023Data-driven input-to-state stabilization with respect to measurement errorsJul 13, 2023Min-Max Optimization under DelaysJul 3, 2023Recovering coefficients in a system of semilinear Helmholtz equations from internal dataJun 29, 2023Last-Iterate Convergence of Adaptive Riemannian Gradient Descent for Equilibrium ComputationJun 6, 2023Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse ProblemsApr 27, 2023Propagating Kernel Ambiguity Sets in Nonlinear Data-driven Dynamics ModelsApr 10, 2023Iterative Singular Tube Hard Thresholding Algorithms for Tensor RecoveryApr 7, 2023CMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems?Mar 13, 2023Continuous-Time Zeroth-Order Dynamics with Projection Maps: Model-Free Feedback Optimization with Safety Guarantees