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Building Robust Ensembles via Margin Boosting


Jun 07, 2022
Dinghuai Zhang, Hongyang Zhang, Aaron Courville, Yoshua Bengio, Pradeep Ravikumar, Arun Sai Suggala

* Accepted by ICML 2022 

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Boosted CVaR Classification


Nov 10, 2021
Runtian Zhai, Chen Dan, Arun Sai Suggala, Zico Kolter, Pradeep Ravikumar

* NeurIPS 2021. 16 pages, 4 figures 

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Learning Minimax Estimators via Online Learning


Jun 19, 2020
Kartik Gupta, Arun Sai Suggala, Adarsh Prasad, Praneeth Netrapalli, Pradeep Ravikumar

* 60 pages. Under review 

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Follow the Perturbed Leader: Optimism and Fast Parallel Algorithms for Smooth Minimax Games


Jun 13, 2020
Arun Sai Suggala, Praneeth Netrapalli

* 38 pages. Under review 

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Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression


Mar 19, 2019
Arun Sai Suggala, Kush Bhatia, Pradeep Ravikumar, Prateek Jain


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Online Non-Convex Learning: Following the Perturbed Leader is Optimal


Mar 19, 2019
Arun Sai Suggala, Praneeth Netrapalli


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How Sensitive are Sensitivity-Based Explanations?


Jan 27, 2019
Chih-Kuan Yeh, Cheng-Yu Hsieh, Arun Sai Suggala, David Inouye, Pradeep Ravikumar


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On Adversarial Risk and Training


Jun 11, 2018
Arun Sai Suggala, Adarsh Prasad, Vaishnavh Nagarajan, Pradeep Ravikumar


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Robust Estimation via Robust Gradient Estimation


Apr 20, 2018
Adarsh Prasad, Arun Sai Suggala, Sivaraman Balakrishnan, Pradeep Ravikumar

* 48 pages, 5 figures 

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