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02/15/2023
A new unified framework for designing convex optimization methods with prescribed theoretical convergence estimates: A numerical analysis approach
We propose a new unified framework for describing and designing gradient...
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06/06/2022
Essential convergence rate of ordinary differential equations appearing in optimization
Some continuous optimization methods can be connected to ordinary differ...
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03/02/2022
High-order linearly implicit schemes conserving quadratic invariants
In this paper, we propose linearly implicit and arbitrary high-order con...
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10/29/2021
New Step-Size Criterion for the Steepest Descent based on Geometric Numerical Integration
This paper deals with unconstrained optimization problems based on numer...
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05/10/2021
Scalar auxiliary variable approach for conservative/dissipative partial differential equations with unbounded energy
In this paper, we present a novel investigation of the so-called SAV app...
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01/01/2021
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
We review the EfficientQA competition from NeurIPS 2020. The competition...
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09/04/2017