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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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Initialization and Regularization of Factorized Neural Layers


May 03, 2021
Mikhail Khodak, Neil Tenenholtz, Lester Mackey, Nicolò Fusi

* ICLR 2021 Camera-Ready 

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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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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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A Sample Complexity Separation between Non-Convex and Convex Meta-Learning


Feb 25, 2020
Nikunj Saunshi, Yi Zhang, Mikhail Khodak, Sanjeev Arora

* 34 pages 

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Advances and Open Problems in Federated Learning


Dec 10, 2019
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Keith Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaid Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konečný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao


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Differentially Private Meta-Learning


Sep 12, 2019
Jeffrey Li, Mikhail Khodak, Sebastian Caldas, Ameet Talwalkar


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Adaptive Gradient-Based Meta-Learning Methods


Jun 17, 2019
Mikhail Khodak, Maria-Florina Balcan, Ameet Talwalkar


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Provable Guarantees for Gradient-Based Meta-Learning


Feb 27, 2019
Mikhail Khodak, Maria-Florina Balcan, Ameet Talwalkar


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A Theoretical Analysis of Contrastive Unsupervised Representation Learning


Feb 25, 2019
Sanjeev Arora, Hrishikesh Khandeparkar, Mikhail Khodak, Orestis Plevrakis, Nikunj Saunshi

* 19 pages, 5 figures 

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A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors


May 14, 2018
Mikhail Khodak, Nikunj Saunshi, Yingyu Liang, Tengyu Ma, Brandon Stewart, Sanjeev Arora

* 11 pages, 2 figures, To appear in ACL 2018 

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A Large Self-Annotated Corpus for Sarcasm


Mar 22, 2018
Mikhail Khodak, Nikunj Saunshi, Kiran Vodrahalli

* 6 pages, 4 Figures. To Appear in LREC 2018 

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Extending and Improving Wordnet via Unsupervised Word Embeddings


Apr 29, 2017
Mikhail Khodak, Andrej Risteski, Christiane Fellbaum, Sanjeev Arora

* 17 pages, 3 figures, In Submission 

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