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Multiple-Source Adaptation with Domain Classifiers

Aug 25, 2020
Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh, Ningshan Zhang


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Beyond Individual and Group Fairness

Aug 21, 2020
Pranjal Awasthi, Corinna Cortes, Yishay Mansour, Mehryar Mohri


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Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Aug 08, 2020
Sai Praneeth Karimireddy, Martin Jaggi, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U. Stich, Ananda Theertha Suresh


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On the Rademacher Complexity of Linear Hypothesis Sets

Jul 21, 2020
Pranjal Awasthi, Natalie Frank, Mehryar Mohri


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A Theory of Multiple-Source Adaptation with Limited Target Labeled Data

Jul 19, 2020
Yishay Mansour, Mehryar Mohri, Ananda Theertha Suresh, Ke Wu

* 20 pages 

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Corralling Stochastic Bandit Algorithms

Jun 28, 2020
Raman Arora, Teodor V. Marinov, Mehryar Mohri


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Relative Deviation Margin Bounds

Jun 26, 2020
Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh

* 29 pages 

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Reinforcement Learning with Feedback Graphs

May 07, 2020
Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan


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Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks

Apr 28, 2020
Pranjal Awasthi, Natalie Frank, Mehryar Mohri


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Three Approaches for Personalization with Applications to Federated Learning

Feb 25, 2020
Yishay Mansour, Mehryar Mohri, Jae Ro, Ananda Theertha Suresh

* 23 pages 

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Adaptive Region-Based Active Learning

Feb 18, 2020
Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang


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Advances and Open Problems in Federated Learning

Dec 10, 2019
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aur√©lien 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, Adri√† Gasc√≥n, 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 Koneńćn√Ĺ, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancr√®de Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer √Ėzg√ľr, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tram√®r, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao


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Learning GANs and Ensembles Using Discrepancy

Nov 06, 2019
Ben Adlam, Corinna Cortes, Mehryar Mohri, Ningshan Zhang


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SCAFFOLD: Stochastic Controlled Averaging for On-Device Federated Learning

Oct 14, 2019
Sai Praneeth Karimireddy, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U. Stich, Ananda Theertha Suresh


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Bandits with Feedback Graphs and Switching Costs

Jul 29, 2019
Raman Arora, Teodor V. Marinov, Mehryar Mohri


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AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles

Apr 30, 2019
Charles Weill, Javier Gonzalvo, Vitaly Kuznetsov, Scott Yang, Scott Yak, Hanna Mazzawi, Eugen Hotaj, Ghassen Jerfel, Vladimir Macko, Ben Adlam, Mehryar Mohri, Corinna Cortes


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Hypothesis Set Stability and Generalization

Apr 17, 2019
Dylan J. Foster, Spencer Greenberg, Satyen Kale, Haipeng Luo, Mehryar Mohri, Karthik Sridharan


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Agnostic Federated Learning

Feb 01, 2019
Mehryar Mohri, Gary Sivek, Ananda Theertha Suresh

* 30 pages 

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Policy Regret in Repeated Games

Nov 09, 2018
Raman Arora, Michael Dinitz, Teodor V. Marinov, Mehryar Mohri

* To appear at NIPS 2018; 25 pages 

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Online Non-Additive Path Learning under Full and Partial Information

Sep 18, 2018
Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Holakou Rahmanian, Manfred K. Warmuth


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Algorithms and Theory for Multiple-Source Adaptation

May 20, 2018
Judy Hoffman, Mehryar Mohri, Ningshan Zhang

* arXiv admin note: text overlap with arXiv:1711.05037 

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Logistic Regression: The Importance of Being Improper

Mar 25, 2018
Dylan J. Foster, Satyen Kale, Haipeng Luo, Mehryar Mohri, Karthik Sridharan


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Theory and Algorithms for Forecasting Time Series

Mar 15, 2018
Vitaly Kuznetsov, Mehryar Mohri

* An extended abstract has appeared in (Kuznetsov and Mohri, 2015) 

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Online Learning with Abstention

Feb 27, 2018
Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang


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Discrepancy-Based Algorithms for Non-Stationary Rested Bandits

Feb 27, 2018
Corinna Cortes, Giulia DeSalvo, Vitaly Kuznetsov, Mehryar Mohri, Scott Yang


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Parameter-free online learning via model selection

Jan 03, 2018
Dylan J. Foster, Satyen Kale, Mehryar Mohri, Karthik Sridharan

* NIPS 2017 

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Multiple-Source Adaptation for Regression Problems

Nov 14, 2017
Judy Hoffman, Mehryar Mohri, Ningshan Zhang


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Online Learning with Automata-based Expert Sequences

Oct 22, 2017
Mehryar Mohri, Scott Yang


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