Near-optimal method for highly smooth convex optimization
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Abstract (arXiv)
We propose a near-optimal method for highly smooth convex optimization. More precisely, in the oracle model where one obtains the pth order Taylor expansion of a function at the query point, we propose a method with rate of convergence tildeO(1/k^frac 3p +12) after k queries to the oracle for any convex function whose pth order derivative is Lipschitz.
Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Dec 2018.
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Citing papers per year: 2021: 3; 2022: 1; 2023: 4; 2024: 4; 2025: 2; 2026: 2.
16 papers.
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- 2022The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimizationcited by 19
- 2021Acceleration via Fractal Learning Rate Schedulescited by 13
- 2021Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothnesscited by 6
- 2023Debiasing Conditional Stochastic Optimizationcited by 6
- 2024Proximal Oracles for Optimization and Samplingcited by 5
- 2023Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimizationcited by 4
- 2021Understanding Riemannian Acceleration via a Proximal Extragradient Frameworkcited by 3
- 2023Higher-Order Newton Methods with Polynomial Work per Iterationcited by 3
- 2023A Whole New Ball Game: A Primal Accelerated Method for Matrix Games and Minimizing the Maximum of Smooth Functionscited by 3
- 2024Tight Lower Bounds under Asymmetric High-Order H"older Smoothness and Uniform Convexitycited by 3
- 2024Non-Euclidean High-Order Smooth Convex Optimizationcited by 3
- 2024Faster Acceleration for Steepest Descentcited by 1
4 more
- 2025Solving Convex-Concave Problems with tildeO(ε-4/7) Second-Order Oracle Complexitycited by 0
- 2025Simple Stepsize for Quasi-Newton Methods with Global Convergence Guaranteescited by 0
- 2026Halpern Iteration Achieves tildeO(ε-1/p) pth-Order Oracle Complexity for Monotone Variational Inequalitiescited by 0
- 2026Optimal High-Order Methods for Solving Monotone Variational Inequalitiescited by 0
- 2026Optimal High-Order Methods for Solving Monotone Variational Inequalities20 Sep 2026
- 2026Halpern Iteration Achieves tildeO(ε-1/p) pth-Order Oracle Complexity for Monotone Variational Inequalities9 Aug 2026
- 2025Simple Stepsize for Quasi-Newton Methods with Global Convergence Guarantees27 Aug 2025
- 2025Solving Convex-Concave Problems with tildeO(ε-4/7) Second-Order Oracle Complexity10 Jun 2025
- 2024Non-Euclidean High-Order Smooth Convex Optimization13 Nov 2024
- 2024Faster Acceleration for Steepest Descent28 Sep 2024
- 2024Tight Lower Bounds under Asymmetric High-Order H"older Smoothness and Uniform Convexity16 Sep 2024
- 2024Proximal Oracles for Optimization and Sampling2 Apr 2024
- 2023A Whole New Ball Game: A Primal Accelerated Method for Matrix Games and Minimizing the Maximum of Smooth Functions17 Nov 2023
- 2023Higher-Order Newton Methods with Polynomial Work per Iteration10 Nov 2023
- 2023Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization3 Jun 2023
- 2023Debiasing Conditional Stochastic Optimization20 Apr 2023
4 more
- 2022The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization19 May 2022
- 2021Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness2 Dec 2021
- 2021Understanding Riemannian Acceleration via a Proximal Extragradient Framework4 Nov 2021
- 2021Acceleration via Fractal Learning Rate Schedules1 Mar 2021
- 2022The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimizationcited by 19
- 2021Acceleration via Fractal Learning Rate Schedulescited by 13
- 2021Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothnesscited by 6
- 2023Debiasing Conditional Stochastic Optimizationcited by 6
- 2024Proximal Oracles for Optimization and Samplingcited by 5
- 2023Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimizationcited by 4
- 2021Understanding Riemannian Acceleration via a Proximal Extragradient Frameworkcited by 3
- 2023Higher-Order Newton Methods with Polynomial Work per Iterationcited by 3
- 2023A Whole New Ball Game: A Primal Accelerated Method for Matrix Games and Minimizing the Maximum of Smooth Functionscited by 3
- 2024Tight Lower Bounds under Asymmetric High-Order H"older Smoothness and Uniform Convexitycited by 3
- 2024Non-Euclidean High-Order Smooth Convex Optimizationcited by 3
- 2024Faster Acceleration for Steepest Descentcited by 1
12 most cited of 16 All 16 (JSON)
- 2026Optimal High-Order Methods for Solving Monotone Variational Inequalities20 Sep 2026
- 2026Halpern Iteration Achieves tildeO(ε-1/p) pth-Order Oracle Complexity for Monotone Variational Inequalities9 Aug 2026
- 2025Simple Stepsize for Quasi-Newton Methods with Global Convergence Guarantees27 Aug 2025
- 2025Solving Convex-Concave Problems with tildeO(ε-4/7) Second-Order Oracle Complexity10 Jun 2025
- 2024Non-Euclidean High-Order Smooth Convex Optimization13 Nov 2024
- 2024Faster Acceleration for Steepest Descent28 Sep 2024
- 2024Tight Lower Bounds under Asymmetric High-Order H"older Smoothness and Uniform Convexity16 Sep 2024
- 2024Proximal Oracles for Optimization and Sampling2 Apr 2024
- 2023A Whole New Ball Game: A Primal Accelerated Method for Matrix Games and Minimizing the Maximum of Smooth Functions17 Nov 2023
- 2023Higher-Order Newton Methods with Polynomial Work per Iteration10 Nov 2023
- 2023Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization3 Jun 2023
- 2023Debiasing Conditional Stochastic Optimization20 Apr 2023
12 newest of 16 All 16 (JSON)