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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

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* 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

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* 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

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* 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

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* 17 pages, 5 figures 

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A Unified Approach to Robust Mean Estimation


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

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* 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

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* 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

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* NIPS 2018 

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