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accelerated algorithm

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convergence rate (4) convex optimization (4) stochastic optimization (3) gradient descent (2) accelerated optimization (2) non-convex optimization (2) lower complexity bound (1) high probability guarantee (1) risk-averse analysis (1) risk-averse optimization (1)

Papers

High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method JMLR 2024 Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization ICLR 2023 Lower Bounds and Accelerated Algorithms for Bilevel Optimization JMLR 2023 On the Convergence of AdaGrad(Norm) on R^d: Beyond Convexity, Non-Asymptotic Rate and Acceleration ICLR 2023 Accelerated Projected Gradient Algorithms for Sparsity Constrained Optimization Problems NeurIPS 2022 Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots ICML 2022 Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm ICML 2021 Accelerated Variational Dirichlet Process Mixtures NeurIPS 2006