Esteban Real

According to our database, Esteban Real authored at least 17 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Guided Evolution with Binary Discriminators for ML Program Search.

John D. Co-Reyes, Yingjie Miao, George Tucker, Aleksandra Faust, Esteban Real

CoRR, 2024

2023

AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical Functions.

Esteban Real, Yao Chen, Mirko Rossini, Connal de Souza, Manav Garg, Akhil Verghese, Moritz Firsching, Quoc V. Le, Ekin Dogus Cubuk, David H. Park

CoRR, 2023

Symbolic Discovery of Optimization Algorithms.

Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Yao Liu, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le

CoRR, 2023

Unified Functional Hashing in Automatic Machine Learning.

Ryan Gillard, Stephen Jonany, Yingjie Miao, Michael Munn, Connal de Souza, Jonathan Dungay, Chen Liang, David R. So, Quoc V. Le, Esteban Real

CoRR, 2023

PyGlove: Efficiently Exchanging ML Ideas as Code.

Daiyi Peng, Xuanyi Dong, Esteban Real, Yifeng Lu, Quoc V. Le

CoRR, 2023

Symbolic Discovery of Optimization Algorithms.

Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Discovering Adaptable Symbolic Algorithms from Scratch.

Stephen Kelly, Daniel S. Park, Xingyou Song, Mitchell McIntire, Pranav Nashikkar, Ritam Guha, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti, Jie Tan, Esteban Real

IROS, 2023

2022

Multi-objective evolution for Generalizable Policy Gradient Algorithms.

Juan Jose Garau Luis, Yingjie Miao, John D. Co-Reyes, Aaron Parisi, Jie Tan, Esteban Real, Aleksandra Faust

CoRR, 2022

2021

Evolving Reinforcement Learning Algorithms.

John D. Co-Reyes, Yingjie Miao, Daiyi Peng, Esteban Real, Quoc V. Le, Sergey Levine, Honglak Lee, Aleksandra Faust

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

PyGlove: Symbolic Programming for Automated Machine Learning.

Daiyi Peng, Xuanyi Dong, Esteban Real, Mingxing Tan, Yifeng Lu, Gabriel Bender, Hanxiao Liu, Adam Kraft, Chen Liang, Quoc Le

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

AutoML-Zero: Evolving Machine Learning Algorithms From Scratch.

Esteban Real, Chen Liang, David R. So, Quoc V. Le

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

NAS-Bench-101: Towards Reproducible Neural Architecture Search.

Chris Ying, Aaron Klein, Eric Christiansen, Esteban Real, Kevin Murphy, Frank Hutter

Proceedings of the 36th International Conference on Machine Learning, 2019

Regularized Evolution for Image Classifier Architecture Search.

Esteban Real, Alok Aggarwal, Yanping Huang, Quoc V. Le

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

Large-Scale Evolution of Image Classifiers.

Esteban Real, Sherry Moore, Andrew Selle, Saurabh Saxena, Yutaka I. Leon-Suematsu, Quoc V. Le, Alex Kurakin

CoRR, 2017

Large-Scale Evolution of Image Classifiers.

Esteban Real, Sherry Moore, Andrew Selle, Saurabh Saxena, Yutaka I. Leon-Suematsu, Jie Tan, Quoc V. Le, Alexey Kurakin

Proceedings of the 34th International Conference on Machine Learning, 2017

YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video.

Esteban Real, Jonathon Shlens, Stefano Mazzocchi, Xin Pan, Vincent Vanhoucke

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015

Attention for Fine-Grained Categorization.

Pierre Sermanet, Andrea Frome, Esteban Real

Proceedings of the 3rd International Conference on Learning Representations, 2015