805 citations · 1.9k across the 55 of their papers we have counts for
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Catalyst Acceleration for First-order Convex Optimization: from Theory to Practice
Hongzhou Lin, Julien Mairal, Zaid Harchaoui
We introduce a generic scheme for accelerating gradient-based optimization methods in the sense of Nesterov. The approach, called Catalyst, builds upon the inexact accelerated prox…
Invariances and Data Augmentation for Supervised Music Transcription
John Thickstun, Zaid Harchaoui, Dean Foster +1
This paper explores a variety of models for frame-based music transcription, with an emphasis on the methods needed to reach state-of-the-art on human recordings. The translation-i…
Catalyst Acceleration for Gradient-Based Non-Convex Optimization
Courtney Paquette, Hongzhou Lin, Dmitriy Drusvyatskiy +2
We introduce a generic scheme to solve nonconvex optimization problems using gradient-based algorithms originally designed for minimizing convex functions. Even though these method…