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Accelerated Bregman Proximal Gradient Methods (accbpg)
juillet 2019
A Python package of accelerated first-order algorithms for solving relatively-smooth convex optimization problems. It implements all algorithms described in our recent paper on accelerated Bregman proximal gradient methods, including the baseline algorithms for comparison. It also contains examples for three…
Personne
Shamsi Iqbal
Principal Applied and Data Science Manager
Mary Czerwinski
Partner Researcher and Research Manager
Adam Fourney
Principal Researcher
Jaime Teevan
Chief Scientist & Technical Fellow
Jina Suh
Principal Researcher
Kael Rowan
Principal Research Software Development Engineer (RSDE)
Ryen W. White
General Manager and Deputy Lab Director
Mark Encarnación
Director of Engineering
Robert Sim
Principal Research Manager
Ahmed Awadallah
Partner Research Manager
Siddharth Suri
Senior Principal Researcher