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Zachary C. Lipton

Dive into Deep Learning


Jun 21, 2021
Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola

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* (HTML) https://D2L.ai (GitHub) https://github.com/d2l-ai/d2l-en/ 
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Correcting Exposure Bias for Link Recommendation


Jun 13, 2021
Shantanu Gupta, Hao Wang, Zachary C. Lipton, Yuyang Wang

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On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study


Jun 02, 2021
Divyansh Kaushik, Douwe Kiela, Zachary C. Lipton, Wen-tau Yih

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* Accepted at ACL-IJCNLP 2021 
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RATT: Leveraging Unlabeled Data to Guarantee Generalization


May 01, 2021
Saurabh Garg, Sivaraman Balakrishnan, J. Zico Kolter, Zachary C. Lipton

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* Pre-print 
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Off-Policy Risk Assessment in Contextual Bandits


Apr 18, 2021
Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli

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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

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* 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

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* Preprint 
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Decoding and Diversity in Machine Translation


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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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