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On the Convergence and Optimality of Policy Gradient for Markov Coherent Risk


Mar 05, 2021
Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli


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On the Convergence and Optimality of Policy Gradient for Coherent Risk


Mar 04, 2021
Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli


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Parametric Complexity Bounds for Approximating PDEs with Neural Networks


Mar 03, 2021
Tanya Marwah, Zachary C. Lipton, Andrej Risteski


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On Proximal Policy Optimization's Heavy-tailed Gradients


Feb 20, 2021
Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J. Zico Kolter, Sivaraman Balakrishnan, Zachary C. Lipton, Ruslan Salakhutdinov, Pradeep Ravikumar

* Pre-print 

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Evaluating Explanations: How much do explanations from the teacher aid students?


Dec 01, 2020
Danish Pruthi, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen

* Preprint 

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Decoding and Diversity in Machine Translation


Nov 26, 2020
Nicholas Roberts, Davis Liang, Graham Neubig, Zachary C. Lipton

* Presented at the Resistance AI Workshop, 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada 

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Rebounding Bandits for Modeling Satiation Effects


Nov 13, 2020
Liu Leqi, Fatma Kilinc-Karzan, Zachary C. Lipton, Alan L. Montgomery


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Fair Machine Learning Under Partial Compliance


Nov 10, 2020
Jessica Dai, Sina Fazelpour, Zachary C. Lipton

* Presented at the NeurIPS 2020 Workshop on Consequential Decision Making in Dynamic Environments and the NeurIPS 2020 Workshop on ML for Economic Policy 

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Weakly- and Semi-supervised Evidence Extraction


Nov 03, 2020
Danish Pruthi, Bhuwan Dhingra, Graham Neubig, Zachary C. Lipton

* Accepted to the Findings of EMNLP 2020, to be presented at BlackBoxNLP 

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Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data


Oct 22, 2020
David Lowell, Brian E. Howard, Zachary C. Lipton, Byron C. Wallace


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On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment


Oct 06, 2020
Zirui Wang, Zachary C. Lipton, Yulia Tsvetkov

* Published as a main conference paper at EMNLP 2020 

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Explaining The Efficacy of Counterfactually-Augmented Data


Oct 06, 2020
Divyansh Kaushik, Amrith Setlur, Eduard Hovy, Zachary C. Lipton


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Uncertainty-Aware Lookahead Factor Models for Quantitative Investing


Jul 15, 2020
Lakshay Chauhan, John Alberg, Zachary C. Lipton


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Extracting Structured Data from Physician-Patient Conversations By Predicting Noteworthy Utterances


Jul 14, 2020
Kundan Krishna, Amy Pavel, Benjamin Schloss, Jeffrey P. Bigham, Zachary C. Lipton


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Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning


Jun 02, 2020
Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss


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Generating SOAP Notes from Doctor-Patient Conversations


May 04, 2020
Kundan Krishna, Sopan Khosla, Jeffrey P. Bigham, Zachary C. Lipton


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Estimating Treatment Effects with Observed Confounders and Mediators


Mar 26, 2020
Shantanu Gupta, Zachary C. Lipton, David Childers


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A Unified View of Label Shift Estimation


Mar 17, 2020
Saurabh Garg, Yifan Wu, Sivaraman Balakrishnan, Zachary C. Lipton

* Pre-print 

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Causal Inference With Selectively-Deconfounded Data


Feb 25, 2020
Kyra Gan, Andrew A. Li, Zachary C. Lipton, Sridhar Tayur


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Algorithmic Fairness from a Non-ideal Perspective


Jan 08, 2020
Sina Fazelpour, Zachary C. Lipton

* Accepted for publication at the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES) 2020 

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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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Are Perceptually-Aligned Gradients a General Property of Robust Classifiers?


Oct 23, 2019
Simran Kaur, Jeremy Cohen, Zachary C. Lipton

* To appear in the "Science Meets Engineering of Deep Learning" Workshop at NeurIPS 2019 

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Accelerating Deep Learning by Focusing on the Biggest Losers


Oct 02, 2019
Angela H. Jiang, Daniel L. -K. Wong, Giulio Zhou, David G. Andersen, Jeffrey Dean, Gregory R. Ganger, Gauri Joshi, Michael Kaminksy, Michael Kozuch, Zachary C. Lipton, Padmanabhan Pillai


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Learning the Difference that Makes a Difference with Counterfactually-Augmented Data


Sep 26, 2019
Divyansh Kaushik, Eduard Hovy, Zachary C. Lipton


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Learning to Deceive with Attention-Based Explanations


Sep 17, 2019
Danish Pruthi, Mansi Gupta, Bhuwan Dhingra, Graham Neubig, Zachary C. Lipton

* Preprint. Ongoing work 

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Entity Projection via Machine Translation for Cross-Lingual NER


Sep 13, 2019
Alankar Jain, Bhargavi Paranjape, Zachary C. Lipton


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Estimating brain age based on a healthy population with deep learning and structural MRI


Jul 01, 2019
Xinyang Feng, Zachary C. Lipton, Jie Yang, Scott A. Small, Frank A. Provenzano

* 32 pages, 9 figures, 6 tables 

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