Provably tuning the ElasticNet across instances
Maria-Florina Balcan, Khodak, Mikhail, Sharma, Dravyansh, Talwalkar, Ameet
Published in arXiv.org (20.07.2022)
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Published in arXiv.org (20.07.2022)
Paper
Meta-Learning Adversarial Bandits
Maria-Florina Balcan, Harris, Keegan, Khodak, Mikhail, Wu, Zhiwei Steven
Published in arXiv.org (27.05.2022)
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Published in arXiv.org (27.05.2022)
Paper
Spectrally Transformed Kernel Regression
Zhai, Runtian, Pukdee, Rattana, Jin, Roger, Maria-Florina Balcan, Ravikumar, Pradeep
Published in arXiv.org (01.02.2024)
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Published in arXiv.org (01.02.2024)
Paper
Improved Sample Complexity Bounds for Branch-and-Cut
Maria-Florina Balcan, Prasad, Siddharth, Sandholm, Tuomas, Vitercik, Ellen
Published in arXiv.org (11.05.2022)
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Published in arXiv.org (11.05.2022)
Paper
Learning with Explanation Constraints
Pukdee, Rattana, Sam, Dylan, Kolter, J Zico, Maria-Florina Balcan, Ravikumar, Pradeep
Published in arXiv.org (22.12.2023)
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Published in arXiv.org (22.12.2023)
Paper
Learning to Branch
Balcan, Maria-Florina, Dick, Travis, Sandholm, Tuomas, Vitercik, Ellen
Year of Publication 27.03.2018
Year of Publication 27.03.2018
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Journal Article
Robustly-reliable learners under poisoning attacks
Maria-Florina Balcan, Blum, Avrim, Hanneke, Steve, Sharma, Dravyansh
Published in arXiv.org (08.03.2022)
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Published in arXiv.org (08.03.2022)
Paper
How much data is sufficient to learn high-performing algorithms? Generalization guarantees for data-driven algorithm design
Balcan, Maria-Florina, DeBlasio, Dan, Dick, Travis, Kingsford, Carl, Sandholm, Tuomas, Vitercik, Ellen
Year of Publication 07.08.2019
Year of Publication 07.08.2019
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Journal Article
Learning-to-learn non-convex piecewise-Lipschitz functions
Maria-Florina Balcan, Khodak, Mikhail, Sharma, Dravyansh, Talwalkar, Ameet
Published in arXiv.org (19.08.2021)
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Published in arXiv.org (19.08.2021)
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