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On the Maximum Hessian Eigenvalue and Generalization



Simran Kaur , Jeremy Cohen , Zachary C. Lipton


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Resolving the Human Subjects Status of Machine Learning's Crowdworkers



Divyansh Kaushik , Zachary C. Lipton , Alex John London


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Modeling Attrition in Recommender Systems with Departing Bandits



Omer Ben-Porat , Lee Cohen , Liu Leqi , Zachary C. Lipton , Yishay Mansour

* Accepted at AAAI 2022 

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Can Transformers be Strong Treatment Effect Estimators?



Yi-Fan Zhang , Hanlin Zhang , Zachary C. Lipton , Li Erran Li , Eric P. Xing

* Technical Report. The first two authors contributed equally to this work 

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Leveraging Unlabeled Data to Predict Out-of-Distribution Performance



Saurabh Garg , Sivaraman Balakrishnan , Zachary C. Lipton , Behnam Neyshabur , Hanie Sedghi

* Accepted at ICLR 2022 

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Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations



Siddhant Arora , Danish Pruthi , Norman Sadeh , William W. Cohen , Zachary C. Lipton , Graham Neubig

* AAAI 2022 

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Mixture Proportion Estimation and PU Learning: A Modern Approach



Saurabh Garg , Yifan Wu , Alex Smola , Sivaraman Balakrishnan , Zachary C. Lipton

* Spotlight at NeurIPS 2021 

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Practical Benefits of Feature Feedback Under Distribution Shift



Anurag Katakkar , Weiqin Wang , Clay H. Yoo , Zachary C. Lipton , Divyansh Kaushik


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