Sagi Perel

15 papers A* 2Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Performance Prediction for Large Systems via Text-to-Text Regression.
CoRR
Yash Akhauri, Bryan Lewandowski, Cheng-Hsi Lin, Adrian N. Reyes, Grant C. Forbes, Arissa Wongpanich, Bangding Yang, Mohamed S. Abdelfattah, Sagi Perel, Xingyou Song
2024 J jnl
OmniPred: Language Models as Universal Regressors.
CoRR
Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi Peng, Sagi Perel, Yutian Chen
2024 J jnl
OmniPred: Language Models as Universal Regressors.
Trans. Mach. Learn. Res.
Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi Peng, Sagi Perel, Yutian Chen
2024 J jnl
Predicting from Strings: Language Model Embeddings for Bayesian Optimization.
CoRR
Tung Nguyen, Qiuyi Zhang, Bangding Yang, Chansoo Lee, Jörg Bornschein, Yingjie Miao, Sagi Perel, Yutian Chen, Xingyou Song
2024 J jnl
The Vizier Gaussian Process Bandit Algorithm.
CoRR
Xingyou Song, Qiuyi Zhang, Chansoo Lee, Emily Fertig, Tzu-Kuo Huang, Lior Belenki, Greg Kochanski, Setareh Ariafar, Srinivas Vasudevan, Sagi Perel, Daniel Golovin
2023 J jnl
Neural architecture search for energy-efficient always-on audio machine learning.
Neural Comput. Appl.
Daniel T. Speckhard, Karolis Misiunas, Sagi Perel, Tenghui Zhu, Simon Carlile, Malcolm Slaney
2022 J jnl
Neural Architecture Search for Energy Efficient Always-on Audio Models.
CoRR
Daniel T. Speckhard, Karolis Misiunas, Sagi Perel, Tenghui Zhu, Simon Carlile, Malcolm Slaney
2022 — conf
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization.
AutoML
Xingyou Song, Sagi Perel, Chansoo Lee, Greg Kochanski, Daniel Golovin
2022 J jnl
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization.
CoRR
Xingyou Song, Sagi Perel, Chansoo Lee, Greg Kochanski, Daniel Golovin
2022 A* conf
Towards Learning Universal Hyperparameter Optimizers with Transformers.
NeurIPS
Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Richard Zhang, David Dohan, Kazuya Kawakami, Greg Kochanski, Arnaud Doucet, Marc'Aurelio Ranzato, Sagi Perel, Nando de Freitas
2022 J jnl
Towards Learning Universal Hyperparameter Optimizers with Transformers.
CoRR
Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Qiuyi Zhang, David Dohan, Kazuya Kawakami, Greg Kochanski, Arnaud Doucet, Marc'Aurelio Ranzato, Sagi Perel, Nando de Freitas
2019 A* conf
A Generalized Framework for Population Based Training.
KDD
Ang Li, Ola Spyra, Sagi Perel, Valentin Dalibard, Max Jaderberg, Chenjie Gu, David Budden, Tim Harley, Pramod Gupta
2019 J jnl
A Generalized Framework for Population Based Training.
CoRR
Ang Li, Ola Spyra, Sagi Perel, Valentin Dalibard, Max Jaderberg, Chenjie Gu, David Budden, Tim Harley, Pramod Gupta
2014 J jnl
Single-Snippet Analysis for Detection of Postspike Effects.
Neural Comput.
Sagi Perel, Andrew B. Schwartz, Valérie Ventura
2013 — conf
Direction and speed tuning of motor-cortex multi-unit activity and local field potentials during reaching movements.
EMBC
Sagi Perel, Patrick T. Sadtler, Jason M. Godlove, Stephen I. Ryu, Wei Wang, Aaron P. Batista, Steven M. Chase