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Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions

Jul 05, 2020
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis


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Robust Federated Learning: The Case of Affine Distribution Shifts

Jun 16, 2020
Amirhossein Reisizadeh, Farzan Farnia, Ramtin Pedarsani, Ali Jadbabaie


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Sharp Asymptotics and Optimal Performance for Inference in Binary Models

Feb 26, 2020
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis


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Quantized Push-sum for Gossip and Decentralized Optimization over Directed Graphs

Feb 25, 2020
Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani


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Polarizing Front Ends for Robust CNNs

Feb 22, 2020
Can Bakiskan, Soorya Gopalakrishnan, Metehan Cekic, Upamanyu Madhow, Ramtin Pedarsani

* Published in 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020) 

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FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization

Oct 12, 2019
Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ali Jadbabaie, Ramtin Pedarsani


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Learning How to Dynamically Route Autonomous Vehicles on Shared Roads

Sep 09, 2019
Daniel A. Lazar, Erdem Bıyık, Dorsa Sadigh, Ramtin Pedarsani


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Sharp Guarantees for Solving Random Equations with One-Bit Information

Aug 12, 2019
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis

* 12 pages, 4 figures 

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Robust and Communication-Efficient Collaborative Learning

Jul 24, 2019
Amirhossein Reisizadeh, Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani


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The Green Choice: Learning and Influencing Human Decisions on Shared Roads

Apr 10, 2019
Erdem Bıyık, Daniel A. Lazar, Dorsa Sadigh, Ramtin Pedarsani

* Submitted to CDC 2019 

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CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning

Feb 06, 2019
Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr


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Altruistic Autonomy: Beating Congestion on Shared Roads

Oct 29, 2018
Erdem Bıyık, Daniel Lazar, Ramtin Pedarsani, Dorsa Sadigh

* Accepted to Workshop on the Algorithmic Foundations of Robotics (WAFR) 2018 

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Toward Robust Neural Networks via Sparsification

Oct 24, 2018
Soorya Gopalakrishnan, Zhinus Marzi, Upamanyu Madhow, Ramtin Pedarsani


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Maximizing Road Capacity Using Cars that Influence People

Oct 09, 2018
Daniel A. Lazar, Kabir Chandrasekher, Ramtin Pedarsani, Dorsa Sadigh

* This is the extended version of the paper accepted to IEEE Conference on Decision and Control (CDC) 2018 

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Combating Adversarial Attacks Using Sparse Representations

Jul 13, 2018
Soorya Gopalakrishnan, Zhinus Marzi, Upamanyu Madhow, Ramtin Pedarsani

* Accepted at ICLR Workshop 2018 

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Quantized Decentralized Consensus Optimization

Jun 29, 2018
Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani


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Sparsity-based Defense against Adversarial Attacks on Linear Classifiers

Jun 19, 2018
Zhinus Marzi, Soorya Gopalakrishnan, Upamanyu Madhow, Ramtin Pedarsani

* Published in IEEE International Symposium on Information Theory (ISIT) 2018 

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Speeding Up Distributed Machine Learning Using Codes

Jan 29, 2018
Kangwook Lee, Maximilian Lam, Ramtin Pedarsani, Dimitris Papailiopoulos, Kannan Ramchandran

* This work is published in IEEE Transactions on Information Theory and presented in part at the NIPS 2015 Workshop on Machine Learning Systems and the IEEE ISIT 2016 

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