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Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing


Jun 08, 2021
Mikhail Khodak, Renbo Tu, Tian Li, Liam Li, Maria-Florina Balcan, Virginia Smith, Ameet Talwalkar


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Rethinking Neural Operations for Diverse Tasks


Mar 29, 2021
Nicholas Roberts, Mikhail Khodak, Tri Dao, Liam Li, Christopher Ré, Ameet Talwalkar


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On Data Efficiency of Meta-learning


Jan 30, 2021
Maruan Al-Shedivat, Liam Li, Eric Xing, Ameet Talwalkar

* Preliminary version. An updated version is to appear in AISTATS 2021 

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Geometry-Aware Gradient Algorithms for Neural Architecture Search


Apr 16, 2020
Liam Li, Mikhail Khodak, Maria-Florina Balcan, Ameet Talwalkar

* 31 pages, 5 figures 

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Exploiting Reuse in Pipeline-Aware Hyperparameter Tuning


Mar 12, 2019
Liam Li, Evan Sparks, Kevin Jamieson, Ameet Talwalkar


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Random Search and Reproducibility for Neural Architecture Search


Feb 20, 2019
Liam Li, Ameet Talwalkar


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Massively Parallel Hyperparameter Tuning


Oct 17, 2018
Liam Li, Kevin Jamieson, Afshin Rostamizadeh, Ekaterina Gonina, Moritz Hardt, Benjamin Recht, Ameet Talwalkar

* Corrected typo in Algorithm 1 

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