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Works (6)

Efficient first-order methods for convex minimization: a constructive approach

Mathematical Programming
2020-11-24 | Journal article
DOI: 10.1007/s10107-019-01410-2
Contributors: Yoel Drori; Adrien B. Taylor
Source: check_circle
Crossref

Exact Worst-Case Convergence Rates of the Proximal Gradient Method for Composite Convex Minimization

Journal of Optimization Theory and Applications
2018-08-10 | Journal article
DOI: 10.1007/s10957-018-1298-1
Contributors: Adrien B. Taylor; Julien M. Hendrickx; François Glineur
Source: check_circle
Crossref

Exact Worst-case Performance of First-order Methods for Composite Convex Optimization

Journal article
DOI: 10.1137/16M108104X
Source: Self-asserted source
Adrien Taylor

On the worst-case complexity of the gradient method with exact line search for smooth strongly convex functions

Journal article
DOI: 10.1007/s11590-016-1087-4
Source: Self-asserted source
Adrien Taylor

Performance estimation toolbox (PESTO): Automated worst-case analysis of first-order optimization methods

Conference paper
DOI: 10.1109/CDC.2017.8263832
Source: Self-asserted source
Adrien Taylor

Smooth strongly convex interpolation and exact worst-case performance of first-order methods

Journal article
DOI: 10.1007/s10107-016-1009-3
Source: Self-asserted source
Adrien Taylor
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