Zachary Chase Lipton

发表

Stuck in a What? Adventures in Weight Space pdf

Zachary Chase Lipton, 2016, ArXiv.

Efficient Elastic Net Regularization for Sparse Linear Models pdf

Charles Elkan, Zachary Chase Lipton, 2015, ArXiv.

Directly Modeling Missing Data in Sequences with RNNs: Improved Classification of Clinical Time Series pdf

David C. Kale, Randall C. Wetzel, Zachary Chase Lipton, 2016, MLHC.

Learning to Diagnose with LSTM Recurrent Neural Networks pdf

Charles Elkan, David C. Kale, Randall C. Wetzel, 2015, ICLR.

Tensor Contraction Layers for Parsimonious Deep Nets

Anima Anandkumar, Jean Kossaifi, Tommaso Furlanello, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks pdf

David C. Kale, Randall C. Wetzel, Zachary Chase Lipton, 2015, ArXiv.

Optimal Thresholding of Classifiers to Maximize F1 Measure

Charles Elkan, Balakrishnan Narayanaswamy, Zachary Chase Lipton, 2014, ECML/PKDD.

A Critical Review of Recurrent Neural Networks for Sequence Learning pdf

Zachary Chase Lipton, 2015, ArXiv.

Differential Privacy and Machine Learning: a Survey and Review pdf

Charles Elkan, Zhanglong Ji, Zachary Chase Lipton, 2014, ArXiv.

Learning Time Dependent Choice pdf

Zachary Chase Lipton, Siddharth Prasad, Siddharth Prasad, 2018, ITCS.

Learning from Temporally-Structured Human Activities Data

Zachary Chase Lipton, 2017 .

The mythos of model interpretability

Zachary Chase Lipton, 2016, ACM Queue.

Temporal-Clustering Invariance in Irregular Healthcare Time Series pdf

Mohammad Taha Bahadori, Zachary Chase Lipton, M. T. Bahadori, 2019, ArXiv.

Capturing Meaning in Product Reviews with Character-Level Generative Text Models pdf

Sharad Vikram, Julian J. McAuley, Zachary Chase Lipton, 2015, ArXiv.

Explaining the Efficacy of Counterfactually Augmented Data pdf

Zachary Chase Lipton, Divyansh Kaushik, Amrith Setlur, 2021, ICLR 2021 Poster.

Born Again Neural Networks

Zachary Chase Lipton, Anima Anandkumar, Tommaso Furlanello, 2018, ICML.

Combating Deep Reinforcement Learning's Sisyphean Curse with Intrinsic Fear

Zachary Chase Lipton, Lihong Li, Jianfeng Gao, 2016, 1611.01211.

Efficient Exploration for Dialogue Policy Learning with BBQ Networks & Replay Buffer Spiking

Zachary Chase Lipton, Lihong Li, Xiujun Li, 2016 .

Accelerating Deep Learning by Focusing on the Biggest Losers pdf

Jeffrey Dean, Gregory R. Ganger, David G. Andersen, 2019, ArXiv.

Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment

Yifan Wu, Zachary C. Lipton, Zachary Chase Lipton, 2019, ICML.

What is the Effect of Importance Weighting in Deep Learning?

Zachary C. Lipton, Zachary Chase Lipton, Jonathon Byrd, 2018, ICML.

Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear pdf

Jianfeng Gao, Li Deng, Lihong Li, 2016, ArXiv.

Combating Deep Reinforcement Learning ’ s Sisyphean Curse with Reinforcement Learning

Zachary Chase Lipton, Lihong Li, Jianfeng Gao, 2017 .

Stochastic Activation Pruning for Robust Adversarial Defense pdf

Kamyar Azizzadenesheli, Anima Anandkumar, Jean Kossaifi, 2018, ICLR.

The mythos of model interpretability

Zachary C. Lipton, Zachary Chase Lipton, 2018, Commun. ACM.

Learning Robust Representations by Projecting Superficial Statistics Out pdf

Eric P. Xing, Zachary C. Lipton, Zexue He, 2018, ICLR.

Tensor Regression Networks pdf

Anima Anandkumar, Jean Kossaifi, Zachary C. Lipton, 2017, J. Mach. Learn. Res..

Detecting and Correcting for Label Shift with Black Box Predictors pdf

Alexander J. Smola, Yu-Xiang Wang, Zachary C. Lipton, 2018, ICML.

Predicting Surgery Duration with Neural Heteroscedastic Regression pdf

Charles Elkan, Julian J. McAuley, Nathan Ng, 2017, MLHC.

Embryo staging with weakly-supervised region selection and dynamically-decoded predictions pdf

Julian J. McAuley, Tingfung Lau, Nathan Ng, 2019, MLHC.

Learning Noise-Invariant Representations for Robust Speech Recognition

Davis Liang, Zhiheng Huang, Zachary C. Lipton, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems

Jianfeng Gao, Xiujun Li, Li Deng, 2016, AAAI.

ENCE WITH COUNTERFACTUALLY-AUGMENTED DATA

Zachary Chase Lipton, E. Hovy, Divya Kaushik, 2020 .

EARNING TO D IAGNOSE WITH LSTM R ECURRENT N EURAL N ETWORKS

David C. Kale, Zachary Chase Lipton, C. Elkan, 2015 .

Combating Adversarial Misspellings with Robust Word Recognition

Zachary Chase Lipton, Bhuwan Dhingra, Pruthi, 2019, ACL.

A Unified View of Label Shift Estimation pdf

Sivaraman Balakrishnan, Zachary C. Lipton, Saurabh Garg, 2020, NeurIPS.

Modeling Missing Data in Clinical Time Series with RNNs

David C. Kale, Zachary Chase Lipton, R. Wetzel, 2016 .

The Doctor Just Won't Accept That!

Zachary C. Lipton, Zachary Chase Lipton, 2017, 1711.08037.

Estimating brain age based on a uniform healthy population with deep learning and structural magnetic resonance imaging

Zachary C. Lipton, Zachary Chase Lipton, Scott A. Small, 2020, Neurobiology of Aging.

On Proximal Policy Optimization's Heavy-tailed Gradients

Sivaraman Balakrishnan, Pradeep Ravikumar, Ruslan Salakhutdinov, 2021, ICML.

Fair Machine Learning Under Partial Compliance pdf

Zachary C. Lipton, Zachary Chase Lipton, Jessica Dai, 2020, AIES.

The Covid-Tracking Project

Zachary Chase Lipton, J. Hammerbacher, Jason Crane, 2020 .

Symbolic Music Generation with Transformer-GANs

Alexander J. Smola, Liang Li, Zachary C. Lipton, 2021, AAAI.

Predicting embryo morphokinetic annotations from time-lapse videos using convolutional neural networks

Julian Gingold, Zachary C. Lipton, Julian McAuley, 2018, Fertility and Sterility.

Can Transformers be Strong Treatment Effect Estimators?

Zachary Chase Lipton, Eric P. Xing, Li Erran Li, 2022, ArXiv.

Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation

Zachary Chase Lipton, Eric P. Xing, Li Erran Li, 2022, 2202.01336.

Supervised Learning with General Risk Functionals

Zachary Chase Lipton, K. Azizzadenesheli, Liu Leqi, 2022, 2206.13648.

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

Zachary Chase Lipton, S. Small, F. Provenzano, 2021 .

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

Zachary Chase Lipton, E. Hovy, Divyansh Kaushik, 2019, ICLR.

Resolving the Human Subjects Status of Machine Learning's Crowdworkers

Zachary Chase Lipton, Divyansh Kaushik, A. London, 2022, ArXiv.

Efficient Dialogue Policy Learning with BBQ-Networks

Zachary Chase Lipton, Lihong Li, Xiujun Li, 2016, 1608.05081.

Dive into Deep Learning pdf

Alexander J. Smola, Zachary C. Lipton, Zachary Chase Lipton, 2020, Journal of the American College of Radiology : JACR.

Unsupervised Learning under Latent Label Shift

Zachary Chase Lipton, S. Garg, Manley Roberts, 2022, 2207.13179.

Practical Obstacles to Deploying Active Learning

Byron C. Wallace, Zachary Chase Lipton, David Lowell, 2018, EMNLP.

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

Zachary Chase Lipton, E. Hovy, Divyansh Kaushik, 2019, ICLR.

Domain Adaptation under Open Set Label Shift

Zachary Chase Lipton, Sivaraman Balakrishnan, S. Garg, 2022, ArXiv.

Leveraging Unlabeled Data to Predict Out-of-Distribution Performance

Zachary Chase Lipton, Sivaraman Balakrishnan, Hanie Sedghi, 2022, ICLR.

Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation

Zachary Chase Lipton, Eric P. Xing, Li Erran Li, 2022, 2202.01336.

Data drift correction via time-varying importance weight estimator

Zachary Chase Lipton, Alexander J. Smola, P. Chaudhari, 2022, ArXiv.

Domain Adaptation under Open Set Label Shift

Zachary Chase Lipton, Sivaraman Balakrishnan, S. Garg, 2022, NeurIPS.

Characterizing Datapoints via Second-Split Forgetting

J. Z. Kolter, Zachary Chase Lipton, S. Garg, 2022, NeurIPS.

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

William W. Cohen, Zachary Chase Lipton, N. Sadeh, 2021, AAAI.

Neural Network Approximations of PDEs Beyond Linearity: Representational Perspective

Zachary Chase Lipton, Andrej Risteski, Jianfeng Lu, 2022, ArXiv.

Smooth Kernels Improve Adversarial Robustness and Perceptually-Aligned Gradients

Eric P. Xing, Zachary C. Lipton, Haohan Wang, 2019 .

Domain Adaptation under Missingness Shift

Zachary Chase Lipton, Sivaraman Balakrishnan, Helen Zhou, 2022, ArXiv.

Unsupervised Learning under Latent Label Shift

Zachary Chase Lipton, S. Garg, Manley Roberts, 2022, NeurIPS.

Downstream Datasets Make Surprisingly Good Pretraining Corpora

Jeffrey P. Bigham, Zachary Chase Lipton, S. Garg, 2022, ArXiv.

On the Maximum Hessian Eigenvalue and Generalization

Zachary Chase Lipton, Jérémy E. Cohen, Simran Kaur, 2022, ArXiv.

Efficient candidate screening under multiple tests and implications for fairness

Yishay Mansour, Zachary C. Lipton, Lee Cohen, 2019, FORC.

Learning Robust Global Representations by Penalizing Local Predictive Power

Eric P. Xing, Haohan Wang, Zachary C. Lipton, 2019, NeurIPS.

Active Learning with Partial Feedback pdf

Anima Anandkumar, Peiyun Hu, Deva Ramanan, 2018, ICLR.

Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study pdf

Zachary C. Lipton, Aditya Siddhant, Zachary Chase Lipton, 2018, EMNLP.

Deep Active Learning for Named Entity Recognition pdf

Anima Anandkumar, Yakov Kronrod, Zachary C. Lipton, 2017, Rep4NLP@ACL.

Causal Inference With Selectively-Deconfounded Data pdf

Zachary C. Lipton, Sridhar Tayur, Andrew A. Li, 2020, AISTATS.

RATT: Leveraging Unlabeled Data to Guarantee Generalization

Sivaraman Balakrishnan, J. Zico Kolter, Zachary C. Lipton, 2021, ICML.

Generating SOAP Notes from Doctor-Patient Conversations

Jeffrey P. Bigham, Zachary Chase Lipton, Sopan Khosla, 2020, ArXiv.

On Negative Interference in Multilingual Language Models pdf

Yulia Tsvetkov, Zachary C. Lipton, Zirui Wang, 2020, EMNLP.

Does mitigating ML's impact disparity require treatment disparity?

Alexandra Chouldechova, Julian J. McAuley, Zachary C. Lipton, 2017, NeurIPS.

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

Douwe Kiela, Zachary C. Lipton, Zachary Chase Lipton, 2021, ACL.

Combating Adversarial Misspellings with Robust Word Recognition

Bhuwan Dhingra, Zachary C. Lipton, Danish Pruthi, 2019, ACL.

Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift

Stephan Günnemann, Zachary C. Lipton, Stephan Rabanser, 2018, NeurIPS.

ARE THE R EPRESENTATIONS L EARNED BY D EEP Q A GENTS ?

Zachary Chase Lipton, Jacob Tyo, 2020 .

Rebounding Bandits for Modeling Satiation Effects

Zachary Chase Lipton, A. Montgomery, Liu Leqi, 2020, NeurIPS.

Learning Causal State Representations of Partially Observable Environments pdf

Joelle Pineau, Kamyar Azizzadenesheli, Anima Anandkumar, 2019, ArXiv.

Modeling Attrition in Recommender Systems with Departing Bandits

Zachary Chase Lipton, Y. Mansour, Liu Leqi, 2022, AAAI.

Troubling Trends in Machine Learning Scholarship

Zachary C. Lipton, Jacob Steinhardt, Zachary Chase Lipton, 2018, ACM Queue.

Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data pdf

Byron C. Wallace, Brian E. Howard, Zachary C. Lipton, 2020, EMNLP.

How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks pdf

Zachary C. Lipton, Zachary Chase Lipton, Divyansh Kaushik, 2018, EMNLP.

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

Simran Kaur, Zachary C. Lipton, Jeremy Cohen, 2019, ArXiv.

Domain Adaptation under Missingness Shift

Zachary Chase Lipton, Sivaraman Balakrishnan, Helen Zhou, 2022, ArXiv.

Improving Factor-Based Quantitative Investing by Forecasting Company Fundamentals pdf

Zachary C. Lipton, Zachary Chase Lipton, John Alberg, 2017, ArXiv.

Thresholding Classifiers to Maximize F1 Score

Zachary Chase Lipton, C. Elkan, Balakrishnan Narayanaswamy, 2014, 1402.1892.

Dance Dance Convolution pdf

Chris Donahue, Julian J. McAuley, Zachary C. Lipton, 2017, ICML.

Learning to Deceive with Attention-Based Explanations

Zachary Chase Lipton, Bhuwan Dhingra, Graham Neubig, 2019, ACL.

Learning under Data Drift with Time-Varying Importance Weights

Zachary Chase Lipton, Alexander J. Smola, P. Chaudhari, 2022, 2210.01422.

Explaining The Efficacy of Counterfactually-Augmented Data

Zachary Chase Lipton, Amrith Rajagopal Setlur, E. Hovy, 2020, ICLR.

Context Matters: Refining Object Detection in Video with Recurrent Neural Networks pdf

Truong Q. Nguyen, Serge J. Belongie, Subarna Tripathi, 2016, BMVC.

CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets

Zachary Chase Lipton, Julian McAuley, S. Garg, 2023, ArXiv.

The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies

Alexandra Chouldechova, Riccardo Fogliato, Zachary Chase Lipton, 2021, Proc. ACM Hum. Comput. Interact..

AmazonQA: A Review-Based Question Answering Task

Mansi Gupta, Zachary C. Lipton, Raghuveer Chanda, 2019, IJCAI.

Precise Recovery of Latent Vectors from Generative Adversarial Networks pdf

Subarna Tripathi, Zachary C. Lipton, Zachary Chase Lipton, 2017, ICLR.

A User Simulator for Task-Completion Dialogues pdf

Jianfeng Gao, Xiujun Li, Lihong Li, 2016, ArXiv.

Entity Projection via Machine Translation for Cross-Lingual NER

Zachary C. Lipton, Bhargavi Paranjape, Alankar Jain, 2019, EMNLP.

Disentangling the Mechanisms Behind Implicit Regularization in SGD

Zachary Chase Lipton, Tanya Marwah, S. Garg, 2022, ICLR.

Semantically Decomposing the Latent Spaces of Generative Adversarial Networks pdf

Chris Donahue, Julian J. McAuley, Zachary C. Lipton, 2017, ICLR.

Risk-limiting Financial Audits via Weighted Sampling without Replacement

Zachary Chase Lipton, Aaditya Ramdas, S. Shekhar, 2023, UAI.

Decoding and Diversity in Machine Translation pdf

Davis Liang, Graham Neubig, Zachary C. Lipton, 2020, ArXiv.

Surprising Negative Results for Generative Adversarial Tree Search

Weitang Liu, Kamyar Azizzadenesheli, Emma Brunskill, 2018, 1806.05780.

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

Zachary Chase Lipton, K. Azizzadenesheli, Liu Leqi, 2021, ArXiv.

Mixture Proportion Estimation and PU Learning: A Modern Approach pdf

Sivaraman Balakrishnan, Zachary C. Lipton, Saurabh Garg, 2021, NeurIPS.

Local Causal Discovery for Estimating Causal Effects

Zachary Chase Lipton, Shantanu Gupta, David Benjamin Childers, 2023, arXiv.org.

Learning From Noisy Singly-labeled Data pdf

Anima Anandkumar, Ashish Khetan, Zachary C. Lipton, 2017, ICLR.

PromptNER: Prompting For Named Entity Recognition

Zachary Chase Lipton, D. Ashok, 2023, arXiv.org.

On the Maximum Hessian Eigenvalue and Generalization

Zachary Chase Lipton, Jérémy E. Cohen, Simran Kaur, 2022, ICBINB.

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

Zachary C. Lipton, George H. Chen, Jeremy C. Weiss, 2020, ArXiv.

Algorithmic Fairness from a Non-ideal Perspective

Zachary C. Lipton, Zachary Chase Lipton, Sina Fazelpour, 2020, AIES.

Correcting Exposure Bias for Link Recommendation

Zachary C. Lipton, Zachary Chase Lipton, Yuyang Wang, 2021, ICML.

RLSbench: Domain Adaptation Under Relaxed Label Shift

Zachary Chase Lipton, Alexander J. Smola, Sivaraman Balakrishnan, 2023, ICML.

Resolving the Human Subjects Status of Machine Learning's Crowdworkers

Zachary Chase Lipton, Divyansh Kaushik, A. London, 2022, ArXiv.

Moral Machine or Tyranny of the Majority?

Zachary Chase Lipton, Hoda Heidari, Michael Feffer, 2023, AAAI.

Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19

Jeremy C. Weiss, Zachary Chase Lipton, Cheng Cheng, 2022, AMIA.

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

Jie Yang, Zachary C. Lipton, Zachary Chase Lipton, 2019, ArXiv.

Learning under Data Drift with Time-Varying Importance Weights

Zachary Chase Lipton, Alexander J. Smola, P. Chaudhari, 2022, 2210.01422.

Efficient Online Estimation of Causal Effects by Deciding What to Observe pdf

David Childers, Zachary C. Lipton, Zachary Chase Lipton, 2021, NeurIPS.

Evaluating Model Performance in Medical Datasets Over Time

Zachary Chase Lipton, Helen Zhou, Yuwen Chen, 2023, 2305.13426.

Parametric Complexity Bounds for Approximating PDEs with Neural Networks

Zachary Chase Lipton, Andrej Risteski, Tanya Marwah, 2021, NeurIPS.

Domain Adaptation under Missingness Shift

Zachary Chase Lipton, Sivaraman Balakrishnan, Helen Zhou, 2022, AISTATS.

An open repository of real-time COVID-19 indicators

Zachary Chase Lipton, Tuzhilin, Ángel Alexander Cabrera, 2021, Proceedings of the National Academy of Sciences.

F1-Optimal Thresholding in the Multi-Label Setting

Charles Elkan, Balakrishnan Narayanaswamy, Zachary C. Lipton, 2014, ArXiv.

Model-tuning Via Prompts Makes NLP Models Adversarially Robust

J. Z. Kolter, Zachary Chase Lipton, Pratyush Maini, 2023, EMNLP.

CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets

Zachary Chase Lipton, Julian McAuley, S. Garg, 2023, ICML.

Transformer-GAN: Symbolic music generation using a learned loss

Zachary Chase Lipton, Alexander J. Smola, Wayne Chi, 2020 .

T-MARS: Improving Visual Representations by Circumventing Text Feature Learning

J. Z. Kolter, Zachary Chase Lipton, Aditi Raghunathan, 2023, ArXiv.

Practical Benefits of Feature Feedback Under Distribution Shift

Zachary Chase Lipton, Clay H. Yoo, Divyansh Kaushik, 2021, BLACKBOXNLP.

Efficient Dialogue Policy Learning with BBQ-Networks

Zachary Chase Lipton, Lihong Li, Xiujun Li, 2016, 1608.05081.

Efficient Exploration for Dialog Policy Learning with Deep BBQ Networks \& Replay Buffer Spiking pdf

Jianfeng Gao, Xiujun Li, Li Deng, 2016, ArXiv.

Deep Active Learning for Named Entity Recognition

Zachary Chase Lipton, Anima Anandkumar, Hyokun Yun, 2017, Rep4NLP@ACL.

Estimating Reactions and Recommending Products with Generative Models of Reviews

Sharad Vikram, Julian J. McAuley, Zachary C. Lipton, 2017, IJCNLP.

Generative Concatenative Nets Jointly Learn to Write and Classify Reviews

Sharad Vikram, Zachary C. Lipton, Julian McAuley, 2015, 1511.03683.

Off-Policy Risk Assessment in Contextual Bandits

Zachary Chase Lipton, K. Azizzadenesheli, Liu Leqi, 2021, NeurIPS.

Downstream Datasets Make Surprisingly Good Pretraining Corpora

Jeffrey P. Bigham, Zachary Chase Lipton, S. Garg, 2022, ACL.

Precise Recovery of Latent Vectors from Generative Adversarial Networks

Zachary Chase Lipton, Subarna Tripathi, 2017, ICLR.

Correction by Projection: Denoising Images with Generative Adversarial Networks pdf

Truong Q. Nguyen, Subarna Tripathi, Zachary C. Lipton, 2018, ArXiv.

Evaluating Model Performance in Medical Datasets Over Time

Zachary Chase Lipton, Helen Zhou, Yuwen Chen, 2023, CHIL.

A Field Test of Bandit Algorithms for Recommendations: Understanding the Validity of Assumptions on Human Preferences in Multi-armed Bandits

Zachary Chase Lipton, A. Montgomery, Liu Leqi, 2023, CHI.

PromptNER: Prompting For Named Entity Recognition

Zachary Chase Lipton, D. Ashok, 2023, ArXiv.

Model Evaluation in Medical Datasets Over Time

Zachary Chase Lipton, Helen Zhou, Yuwen Chen, 2022, ArXiv.

Game Design for Eliciting Distinguishable Behavior pdf

Yifan Wu, Pradeep Ravikumar, Tom M. Mitchell, 2019, NeurIPS.

Discovering Optimal Scoring Mechanisms in Causal Strategic Prediction

Zachary Chase Lipton, Shantanu Gupta, Tom Yan, 2023, ArXiv.

Research for practice

Zachary C. Lipton, Jacob Steinhardt, Zachary Chase Lipton, 2019, Commun. ACM.

Generative Adversarial Networks

Zachary Chase Lipton, Subarna Tripathi, 2017 .

S EMANTICALLY D ECOMPOSING THE L ATENT S PACES OF G ENERATIVE A DVERSARIAL N ETWORKS

Zachary Chase Lipton, Chris Donahue, 2018 .

Estimating Treatment Effects with Observed Confounders and Mediators

David Childers, Zachary C. Lipton, Zachary Chase Lipton, 2020, UAI.

L EVERAGING U NLABELED D ATA TO P REDICT O UT - OF -D ISTRIBUTION P ERFORMANCE

Zachary Chase Lipton, Sivaraman Balakrishnan, Hanie Sedghi, 2022 .

Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms

Zachary Chase Lipton, Sivaraman Balakrishnan, S. Garg, 2023, ArXiv.

Fair Machine Learning Under Partial Compliance

Zachary C. Lipton, Zachary Chase Lipton, Sina Fazelpour, 2020, AIES.

Meta-Learning Mini-Batch Risk Functionals

Zachary Chase Lipton, Jacob Tyo, 2023, ArXiv.

Can Neural Network Memorization Be Localized?

J. Z. Kolter, Zachary Chase Lipton, M. Mozer, 2023, ICML.

MoCo-Transfer: Investigating out-of-distribution contrastive learning for limited-data domains

Zachary Chase Lipton, Helen Zhou, Yuwen Chen, 2023, 2311.09401.

Identifying Game-Based Digital Biomarkers of Cognitive Risk for Adolescent Substance Misuse: Protocol for a Proof-of-Concept Study (Preprint)

Zachary Chase Lipton, Kammarauche Aneni, Isabella Gomati de la Vega, 2023, JMIR Research Protocols.

Deep Equilibrium Based Neural Operators for Steady-State PDEs

J. Z. Kolter, Zachary Chase Lipton, Andrej Risteski, 2023, 2312.00234.

MUDD: A New Re-Identification Dataset with Efficient Annotation for Off-Road Racers in Extreme Conditions

Zachary Chase Lipton, Motolani Olarinre, Jacob Tyo, 2023, ArXiv.

USB: A Unified Summarization Benchmark Across Tasks and Domains

Byron C. Wallace, Jeffrey P. Bigham, Zachary Chase Lipton, 2023, EMNLP.

Predicting Embryo Morphokinetics in Videos with Late Fusion Nets & Dynamic Decoders

Julian J. McAuley, Julian Gingold, Nina Desai, 2018, ICLR.

Red-Teaming for Generative AI: Silver Bullet or Security Theater?

Zachary Chase Lipton, Hoda Heidari, Michael Feffer, 2024, ArXiv.

Time-Varying Propensity Score to Bridge the Gap between the Past and Present

Zachary Chase Lipton, Alexander J. Smola, P. Chaudhari, 2022, 2210.01422.