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Mechanic: A Learning Rate Tuner

Mechanic: A Learning Rate Tuner

31 May 2023
Ashok Cutkosky
Aaron Defazio
Harsh Mehta
    OffRL
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Papers citing "Mechanic: A Learning Rate Tuner"

13 / 13 papers shown
Title
Efficient Deep Learning Approaches for Processing Ultra-Widefield Retinal Imaging
Efficient Deep Learning Approaches for Processing Ultra-Widefield Retinal Imaging
Siwon Kim
Wooyung Yun
Jeongbin Oh
Soomok Lee
MedIm
49
0
0
23 Mar 2025
$\texttt{skwdro}$: a library for Wasserstein distributionally robust
  machine learning
skwdro\texttt{skwdro}skwdro: a library for Wasserstein distributionally robust machine learning
Florian Vincent
Waïss Azizian
F. Iutzeler
J. Malick
OOD
53
0
0
28 Oct 2024
State-free Reinforcement Learning
State-free Reinforcement Learning
Mingyu Chen
Aldo Pacchiano
Xuezhou Zhang
61
0
0
27 Sep 2024
Super Level Sets and Exponential Decay: A Synergistic Approach to Stable
  Neural Network Training
Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Training
J. Chaudhary
Dipak Nidhi
J. Heikkonen
H. Merisaari
R. Kanth
16
0
0
25 Sep 2024
Stepping on the Edge: Curvature Aware Learning Rate Tuners
Stepping on the Edge: Curvature Aware Learning Rate Tuners
Vincent Roulet
Atish Agarwala
Jean-Bastien Grill
Grzegorz Swirszcz
Mathieu Blondel
Fabian Pedregosa
34
1
0
08 Jul 2024
Fully Unconstrained Online Learning
Fully Unconstrained Online Learning
Ashok Cutkosky
Zakaria Mhammedi
CLL
27
1
0
30 May 2024
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement
  Learning
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning
Aneesh Muppidi
Zhiyu Zhang
Heng Yang
32
4
0
26 May 2024
Corridor Geometry in Gradient-Based Optimization
Corridor Geometry in Gradient-Based Optimization
Benoit Dherin
M. Rosca
25
0
0
13 Feb 2024
Tuning-Free Stochastic Optimization
Tuning-Free Stochastic Optimization
Ahmed Khaled
Chi Jin
30
7
0
12 Feb 2024
MetaOptimize: A Framework for Optimizing Step Sizes and Other
  Meta-parameters
MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters
Arsalan Sharifnassab
Saber Salehkaleybar
Richard Sutton
27
3
0
04 Feb 2024
SANIA: Polyak-type Optimization Framework Leads to Scale Invariant
  Stochastic Algorithms
SANIA: Polyak-type Optimization Framework Leads to Scale Invariant Stochastic Algorithms
Farshed Abdukhakimov
Chulu Xiang
Dmitry Kamzolov
Robert Mansel Gower
Martin Takáč
32
2
0
28 Dec 2023
Improving Adaptive Online Learning Using Refined Discretization
Improving Adaptive Online Learning Using Refined Discretization
Zhiyu Zhang
Heng Yang
Ashok Cutkosky
I. Paschalidis
14
5
0
27 Sep 2023
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,943
0
20 Apr 2018
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