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The Risks of Invariant Risk Minimization

Oct 12, 2020
Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski


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Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification

Jun 29, 2020
Chen Dan, Yuting Wei, Pradeep Ravikumar

* 25 pages, 1 figure. Accepted by ICML 2020 

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Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances

Jun 24, 2020
Sijie He, Xinyan Li, Timothy DelSole, Pradeep Ravikumar, Arindam Banerjee


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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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Evaluations and Methods for Explanation through Robustness Analysis

May 31, 2020
Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh


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Class-Weighted Classification: Trade-offs and Robust Approaches

May 26, 2020
Ziyu Xu, Chen Dan, Justin Khim, Pradeep Ravikumar

* 28 pages, 4 figures 

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Minimizing FLOPs to Learn Efficient Sparse Representations

Apr 12, 2020
Biswajit Paria, Chih-Kuan Yeh, Ian E. H. Yen, Ning Xu, Pradeep Ravikumar, Barnabás Póczos

* Published at ICLR 2020 

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MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius

Feb 15, 2020
Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang

* In ICLR 2020. 20 Pages 

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Certified Robustness to Label-Flipping Attacks via Randomized Smoothing

Feb 07, 2020
Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, J. Zico Kolter


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Game Design for Eliciting Distinguishable Behavior

Dec 12, 2019
Fan Yang, Liu Leqi, Yifan Wu, Zachary C. Lipton, Pradeep Ravikumar, William W. Cohen, Tom Mitchell

* 33rd Conference on Neural Information Processing Systems (NeurIPS 2019) 

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Diagnostic Curves for Black Box Models

Dec 02, 2019
David I. Inouye, Liu Leqi, Joon Sik Kim, Bryon Aragam, Pradeep Ravikumar

* Accepted to NeurIPS 2019 Workshop on Safety and Robustness in Decision Making 

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Optimal Analysis of Subset-Selection Based L_p Low Rank Approximation

Oct 30, 2019
Chen Dan, Hong Wang, Hongyang Zhang, Yuchen Zhou, Pradeep Ravikumar

* 20 pages, accepted by NeurIPS 2019 

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On Concept-Based Explanations in Deep Neural Networks

Oct 17, 2019
Chih-Kuan Yeh, Been Kim, Sercan O. Arik, Chun-Liang Li, Pradeep Ravikumar, Tomas Pfister


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Learning Sparse Nonparametric DAGs

Sep 29, 2019
Xun Zheng, Chen Dan, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing

* 17 pages, 5 figures 

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A Unified Approach to Robust Mean Estimation

Jul 01, 2019
Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar

* 51 pages, 6 figures 

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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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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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Towards Aggregating Weighted Feature Attributions

Jan 20, 2019
Umang Bhatt, Pradeep Ravikumar, Jose M. F. Moura

* In AAAI-19 Workshop on Network Interpretability for Deep Learning 

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Representer Point Selection for Explaining Deep Neural Networks

Nov 23, 2018
Chih-Kuan Yeh, Joon Sik Kim, Ian E. H. Yen, Pradeep Ravikumar

* NIPS 2018 

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DAGs with NO TEARS: Continuous Optimization for Structure Learning

Nov 03, 2018
Xun Zheng, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing

* 22 pages, 8 figures, accepted to NIPS 2018 

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Word Mover's Embedding: From Word2Vec to Document Embedding

Oct 30, 2018
Lingfei Wu, Ian E. H. Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock

* EMNLP'18 Camera-Ready Version 

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Learning Tensor Latent Features

Oct 10, 2018
Sung-En Chang, Xun Zheng, Ian E. H. Yen, Pradeep Ravikumar, Rose Yu

* 10 pages, 3 figures 

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Sample Complexity of Nonparametric Semi-Supervised Learning

Sep 10, 2018
Chen Dan, Liu Leqi, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing

* 18 pages, 3 figures 

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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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Binary Classification with Karmic, Threshold-Quasi-Concave Metrics

Jun 02, 2018
Bowei Yan, Oluwasanmi Koyejo, Kai Zhong, Pradeep Ravikumar

* ICML 2018 

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Robust Nonparametric Regression under Huber's $ε$-contamination Model

May 26, 2018
Simon S. Du, Yining Wang, Sivaraman Balakrishnan, Pradeep Ravikumar, Aarti Singh


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D2KE: From Distance to Kernel and Embedding

May 25, 2018
Lingfei Wu, Ian En-Hsu Yen, Fangli Xu, Pradeep Ravikumar, Michael Witbrock

* 15 pages, 4 tables 

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