ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2101.08809
  4. Cited By
PyGlove: Symbolic Programming for Automated Machine Learning

PyGlove: Symbolic Programming for Automated Machine Learning

21 January 2021
Daiyi Peng
Xuanyi Dong
Esteban Real
Mingxing Tan
Yifeng Lu
Hanxiao Liu
Gabriel Bender
Adam Kraft
Chen Liang
Quoc V. Le
ArXivPDFHTML

Papers citing "PyGlove: Symbolic Programming for Automated Machine Learning"

11 / 11 papers shown
Title
A knowledge-driven AutoML architecture
A knowledge-driven AutoML architecture
C. Cofaru
Johan Loeckx
21
0
0
28 Nov 2023
Lion Secretly Solves Constrained Optimization: As Lyapunov Predicts
Lion Secretly Solves Constrained Optimization: As Lyapunov Predicts
Lizhang Chen
Bo Liu
Kaizhao Liang
Qian Liu
ODL
19
15
0
09 Oct 2023
Symbolic Discovery of Optimization Algorithms
Symbolic Discovery of Optimization Algorithms
Xiangning Chen
Chen Liang
Da Huang
Esteban Real
Kaiyuan Wang
...
Xuanyi Dong
Thang Luong
Cho-Jui Hsieh
Yifeng Lu
Quoc V. Le
50
350
0
13 Feb 2023
Unified Functional Hashing in Automatic Machine Learning
Unified Functional Hashing in Automatic Machine Learning
Ryan Gillard
S. Jonany
Yingjie Miao
Michael Munn
Connal de Souza
Jonathan Dungay
Chen Liang
David R. So
Quoc V. Le
Esteban Real
21
2
0
10 Feb 2023
Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task
  Neural Architecture Search
Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search
Thanh Vu
Yan-Quan Zhou
Chun-Yung Wen
Yueqi Li
Jan-Michael Frahm
32
4
0
04 Oct 2022
Open Source Vizier: Distributed Infrastructure and API for Reliable and
  Flexible Blackbox Optimization
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization
Xingyou Song
Sagi Perel
Chansoo Lee
Greg Kochanski
Daniel Golovin
29
26
0
27 Jul 2022
Towards Learning Universal Hyperparameter Optimizers with Transformers
Towards Learning Universal Hyperparameter Optimizers with Transformers
Yutian Chen
Xingyou Song
Chansoo Lee
Z. Wang
Qiuyi Zhang
...
Greg Kochanski
Arnaud Doucet
MarcÁurelio Ranzato
Sagi Perel
Nando de Freitas
24
63
0
26 May 2022
Automated Deep Learning: Neural Architecture Search Is Not the End
Automated Deep Learning: Neural Architecture Search Is Not the End
Xuanyi Dong
D. Kedziora
Katarzyna Musial
Bogdan Gabrys
25
26
0
16 Dec 2021
Rethinking Co-design of Neural Architectures and Hardware Accelerators
Rethinking Co-design of Neural Architectures and Hardware Accelerators
Yanqi Zhou
Xuanyi Dong
Berkin Akin
Mingxing Tan
Daiyi Peng
Tianjian Meng
Amir Yazdanbakhsh
Da Huang
Ravi Narayanaswami
James Laudon
49
26
0
17 Feb 2021
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
Nick Erickson
Jonas W. Mueller
Alexander Shirkov
Hang Zhang
Pedro Larroy
Mu Li
Alex Smola
LMTD
86
607
0
13 Mar 2020
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
1