Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Adversarially Robust Classification based on GLRT

Nov 16, 2020
Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani

* Submitted to the International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2021 

  Access Paper or Ask Questions

Asymptotic Behavior of Adversarial Training in Binary Classification

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


  Access Paper or Ask Questions

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

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


  Access Paper or Ask Questions

Robust Federated Learning: The Case of Affine Distribution Shifts

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


  Access Paper or Ask Questions

Sharp Asymptotics and Optimal Performance for Inference in Binary Models

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


  Access Paper or Ask Questions

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

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


  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Learning How to Dynamically Route Autonomous Vehicles on Shared Roads

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


  Access Paper or Ask Questions

Sharp Guarantees for Solving Random Equations with One-Bit Information

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

* 12 pages, 4 figures 

  Access Paper or Ask Questions

Robust and Communication-Efficient Collaborative Learning

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Toward Robust Neural Networks via Sparsification

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Combating Adversarial Attacks Using Sparse Representations

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

* Accepted at ICLR Workshop 2018 

  Access Paper or Ask Questions

Quantized Decentralized Consensus Optimization

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions