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Opis bibliograficzny
Główni autorzy:	Cao, Jincheng, Jiang, Ruichen, Hamedani, Erfan Yazdandoost, Mokhtari, Aryan
Format:	Preprint
Wydane:	2024
Hasła przedmiotowe:	Optimization and Control Machine Learning
Dostęp online:	https://arxiv.org/abs/2402.08097
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!

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Sequential QCQP for Bilevel Optimization with Line Search
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Perturbed Gradient Descent via Convex Quadratic Approximation for Nonconvex Bilevel Optimization
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Improved Complexity for Smooth Nonconvex Optimization: A Two-Level Online Learning Approach with Quasi-Newton Methods
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Provable Complexity Improvement of AdaGrad over SGD: Upper and Lower Bounds in Stochastic Non-Convex Optimization
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Online Learning Guided Quasi-Newton Methods with Global Non-Asymptotic Convergence
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Linear Convergence of a Unified Primal--Dual Algorithm for Convex--Concave Saddle Point Problems with Quadratic Growth
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A Randomized Block-Coordinate Primal-Dual Method for Large-scale Stochastic Saddle Point Problems
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Stochastic Non-Smooth Convex Optimization with Unbounded Gradients
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Methods for Convex $(L_0,L_1)$-Smooth Optimization: Clipping, Acceleration, and Adaptivity
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Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search
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Gradient-Variation Online Adaptivity for Accelerated Optimization with Hölder Smoothness
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On Convergence of Incremental Gradient for Non-Convex Smooth Functions
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Smooth Quasar-Convex Optimization with Constraints
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Adaptive Accelerated Gradient Method for Smooth Convex Optimization
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Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning
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Near-Optimal Convex Simple Bilevel Optimization with a Bisection Method
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