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MARTHE: Scheduling the Learning Rate Via Online Hypergradients
v1v2v3v4 (latest)

MARTHE: Scheduling the Learning Rate Via Online Hypergradients

18 October 2019
Michele Donini
Luca Franceschi
Massimiliano Pontil
Orchid Majumder
P. Frasconi
ArXiv (abs)PDFHTML

Papers citing "MARTHE: Scheduling the Learning Rate Via Online Hypergradients"

4 / 4 papers shown
Title
Generalizable End-to-End Deep Learning Frameworks for Real-Time Attitude
  Estimation Using 6DoF Inertial Measurement Units
Generalizable End-to-End Deep Learning Frameworks for Real-Time Attitude Estimation Using 6DoF Inertial Measurement UnitsSocial Science Research Network (SSRN), 2023
Arman Asgharpoor Golroudbari
M. Sabour
250
18
0
13 Feb 2023
Simple and Effective Gradient-Based Tuning of Sequence-to-Sequence
  Models
Simple and Effective Gradient-Based Tuning of Sequence-to-Sequence Models
Jared Lichtarge
Chris Alberti
Shankar Kumar
198
5
0
10 Sep 2022
Unbiased Gradient Estimation in Unrolled Computation Graphs with
  Persistent Evolution Strategies
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution StrategiesInternational Conference on Machine Learning (ICML), 2021
Paul Vicol
Luke Metz
Jascha Narain Sohl-Dickstein
231
74
0
27 Dec 2021
Gradient-based Hyperparameter Optimization Over Long Horizons
Gradient-based Hyperparameter Optimization Over Long HorizonsNeural Information Processing Systems (NeurIPS), 2020
P. Micaelli
Amos Storkey
265
17
0
15 Jul 2020
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