Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Zachary C. Lipton

Zachary C. Lipton

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


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

Figure 1 for On the Convergence and Optimality of Policy Gradient for Markov Coherent Risk
Figure 2 for On the Convergence and Optimality of Policy Gradient for Markov Coherent Risk
Figure 3 for On the Convergence and Optimality of Policy Gradient for Markov Coherent Risk
Figure 4 for On the Convergence and Optimality of Policy Gradient for Markov Coherent Risk

  Access Paper or Ask Questions

On the Convergence and Optimality of Policy Gradient for Coherent Risk


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

Figure 1 for On the Convergence and Optimality of Policy Gradient for Coherent Risk
Figure 2 for On the Convergence and Optimality of Policy Gradient for Coherent Risk
Figure 3 for On the Convergence and Optimality of Policy Gradient for Coherent Risk
Figure 4 for On the Convergence and Optimality of Policy Gradient for Coherent Risk

  Access Paper or Ask Questions

Parametric Complexity Bounds for Approximating PDEs with Neural Networks


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


  Access Paper or Ask Questions

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

Figure 1 for On Proximal Policy Optimization's Heavy-tailed Gradients
Figure 2 for On Proximal Policy Optimization's Heavy-tailed Gradients
Figure 3 for On Proximal Policy Optimization's Heavy-tailed Gradients
Figure 4 for On Proximal Policy Optimization's Heavy-tailed Gradients
* Pre-print 
  Access Paper or Ask Questions

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

Figure 1 for Evaluating Explanations: How much do explanations from the teacher aid students?
Figure 2 for Evaluating Explanations: How much do explanations from the teacher aid students?
Figure 3 for Evaluating Explanations: How much do explanations from the teacher aid students?
Figure 4 for Evaluating Explanations: How much do explanations from the teacher aid students?
* Preprint 
  Access Paper or Ask Questions

Decoding and Diversity in Machine Translation


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

Figure 1 for Decoding and Diversity in Machine Translation
Figure 2 for Decoding and Diversity in Machine Translation
Figure 3 for Decoding and Diversity in Machine Translation
Figure 4 for Decoding and Diversity in Machine Translation
* Presented at the Resistance AI Workshop, 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada 
  Access Paper or Ask Questions

Rebounding Bandits for Modeling Satiation Effects


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


  Access Paper or Ask Questions

Fair Machine Learning Under Partial Compliance


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

Figure 1 for Fair Machine Learning Under Partial Compliance
Figure 2 for Fair Machine Learning Under Partial Compliance
Figure 3 for Fair Machine Learning Under Partial Compliance
Figure 4 for Fair Machine Learning Under Partial Compliance
* Presented at the NeurIPS 2020 Workshop on Consequential Decision Making in Dynamic Environments and the NeurIPS 2020 Workshop on ML for Economic Policy 
  Access Paper or Ask Questions

Weakly- and Semi-supervised Evidence Extraction


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

Figure 1 for Weakly- and Semi-supervised Evidence Extraction
Figure 2 for Weakly- and Semi-supervised Evidence Extraction
Figure 3 for Weakly- and Semi-supervised Evidence Extraction
Figure 4 for Weakly- and Semi-supervised Evidence Extraction
* Accepted to the Findings of EMNLP 2020, to be presented at BlackBoxNLP 
  Access Paper or Ask Questions

Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data


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

Figure 1 for Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data
Figure 2 for Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data
Figure 3 for Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data
Figure 4 for Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data

  Access Paper or Ask Questions

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


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

Figure 1 for On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment
Figure 2 for On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment
Figure 3 for On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment
Figure 4 for On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment
* Published as a main conference paper at EMNLP 2020 
  Access Paper or Ask Questions

Explaining The Efficacy of Counterfactually-Augmented Data


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

Figure 1 for Explaining The Efficacy of Counterfactually-Augmented Data
Figure 2 for Explaining The Efficacy of Counterfactually-Augmented Data
Figure 3 for Explaining The Efficacy of Counterfactually-Augmented Data
Figure 4 for Explaining The Efficacy of Counterfactually-Augmented Data

  Access Paper or Ask Questions

Uncertainty-Aware Lookahead Factor Models for Quantitative Investing


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

Figure 1 for Uncertainty-Aware Lookahead Factor Models for Quantitative Investing
Figure 2 for Uncertainty-Aware Lookahead Factor Models for Quantitative Investing
Figure 3 for Uncertainty-Aware Lookahead Factor Models for Quantitative Investing
Figure 4 for Uncertainty-Aware Lookahead Factor Models for Quantitative Investing

  Access Paper or Ask Questions

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

Figure 1 for Extracting Structured Data from Physician-Patient Conversations By Predicting Noteworthy Utterances
Figure 2 for Extracting Structured Data from Physician-Patient Conversations By Predicting Noteworthy Utterances
Figure 3 for Extracting Structured Data from Physician-Patient Conversations By Predicting Noteworthy Utterances
Figure 4 for Extracting Structured Data from Physician-Patient Conversations By Predicting Noteworthy Utterances

  Access Paper or Ask Questions

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

Figure 1 for Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning
Figure 2 for Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning
Figure 3 for Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning
Figure 4 for Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning

  Access Paper or Ask Questions

Generating SOAP Notes from Doctor-Patient Conversations


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

Figure 1 for Generating SOAP Notes from Doctor-Patient Conversations
Figure 2 for Generating SOAP Notes from Doctor-Patient Conversations
Figure 3 for Generating SOAP Notes from Doctor-Patient Conversations
Figure 4 for Generating SOAP Notes from Doctor-Patient Conversations

  Access Paper or Ask Questions

Estimating Treatment Effects with Observed Confounders and Mediators


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

Figure 1 for Estimating Treatment Effects with Observed Confounders and Mediators
Figure 2 for Estimating Treatment Effects with Observed Confounders and Mediators
Figure 3 for Estimating Treatment Effects with Observed Confounders and Mediators
Figure 4 for Estimating Treatment Effects with Observed Confounders and Mediators

  Access Paper or Ask Questions

A Unified View of Label Shift Estimation


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

Figure 1 for A Unified View of Label Shift Estimation
Figure 2 for A Unified View of Label Shift Estimation
* Pre-print 
  Access Paper or Ask Questions

Causal Inference With Selectively-Deconfounded Data


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

Figure 1 for Causal Inference With Selectively-Deconfounded Data
Figure 2 for Causal Inference With Selectively-Deconfounded Data
Figure 3 for Causal Inference With Selectively-Deconfounded Data
Figure 4 for Causal Inference With Selectively-Deconfounded Data

  Access Paper or Ask Questions

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 
  Access Paper or Ask Questions

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

Figure 1 for Game Design for Eliciting Distinguishable Behavior
Figure 2 for Game Design for Eliciting Distinguishable Behavior
Figure 3 for Game Design for Eliciting Distinguishable Behavior
Figure 4 for Game Design for Eliciting Distinguishable Behavior
* 33rd Conference on Neural Information Processing Systems (NeurIPS 2019) 
  Access Paper or Ask Questions

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


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

Figure 1 for Are Perceptually-Aligned Gradients a General Property of Robust Classifiers?
Figure 2 for Are Perceptually-Aligned Gradients a General Property of Robust Classifiers?
Figure 3 for Are Perceptually-Aligned Gradients a General Property of Robust Classifiers?
Figure 4 for Are Perceptually-Aligned Gradients a General Property of Robust Classifiers?
* To appear in the "Science Meets Engineering of Deep Learning" Workshop at NeurIPS 2019 
  Access Paper or Ask Questions

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

Figure 1 for Accelerating Deep Learning by Focusing on the Biggest Losers
Figure 2 for Accelerating Deep Learning by Focusing on the Biggest Losers
Figure 3 for Accelerating Deep Learning by Focusing on the Biggest Losers
Figure 4 for Accelerating Deep Learning by Focusing on the Biggest Losers

  Access Paper or Ask Questions

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


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

Figure 1 for Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
Figure 2 for Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
Figure 3 for Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
Figure 4 for Learning the Difference that Makes a Difference with Counterfactually-Augmented Data

  Access Paper or Ask Questions

Learning to Deceive with Attention-Based Explanations


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

Figure 1 for Learning to Deceive with Attention-Based Explanations
Figure 2 for Learning to Deceive with Attention-Based Explanations
Figure 3 for Learning to Deceive with Attention-Based Explanations
Figure 4 for Learning to Deceive with Attention-Based Explanations
* Preprint. Ongoing work 
  Access Paper or Ask Questions

Entity Projection via Machine Translation for Cross-Lingual NER


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

Figure 1 for Entity Projection via Machine Translation for Cross-Lingual NER
Figure 2 for Entity Projection via Machine Translation for Cross-Lingual NER
Figure 3 for Entity Projection via Machine Translation for Cross-Lingual NER
Figure 4 for Entity Projection via Machine Translation for Cross-Lingual NER

  Access Paper or Ask Questions

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

Figure 1 for Estimating brain age based on a healthy population with deep learning and structural MRI
Figure 2 for Estimating brain age based on a healthy population with deep learning and structural MRI
Figure 3 for Estimating brain age based on a healthy population with deep learning and structural MRI
Figure 4 for Estimating brain age based on a healthy population with deep learning and structural MRI
* 32 pages, 9 figures, 6 tables 
  Access Paper or Ask Questions