Zachary C. Lipton

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 216

Top Venues

Publications

Nil-Jana Akpinar, Zachary C. Lipton, Alexandra Chouldechova
The Impact of Differential Feature Under-reporting on Algorithmic Fairness. FAccT (2024)
Helen Zhou, Audrey Huang, Kamyar Azizzadenesheli, David Childers, Zachary C. Lipton
Timing as an Action: Learning When to Observe and Act. AISTATS (2024)
Kundan Krishna, Sanjana Ramprasad, Prakhar Gupta, Byron C. Wallace, Zachary C. Lipton, Jeffrey P. Bigham
GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence. CoRR (2024)
Avi Schwarzschild, Zhili Feng, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter
Rethinking LLM Memorization through the Lens of Adversarial Compression. CoRR (2024)
Michael Feffer, Anusha Sinha, Zachary C. Lipton, Hoda Heidari
Red-Teaming for Generative AI: Silver Bullet or Security Theater? CoRR (2024)
Xinyu Li, Zachary C. Lipton, Liu Leqi
Personalized Language Modeling from Personalized Human Feedback. CoRR (2024)
Sanjana Ramprasad, Kundan Krishna, Zachary C. Lipton, Byron C. Wallace
Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains. CoRR (2024)
Jennifer Hsia, Danish Pruthi, Aarti Singh, Zachary C. Lipton
Goodhart's Law Applies to NLP's Explanation Benchmarks. EACL (Findings) (2024)
Daniel P. Jeong, Zachary C. Lipton, Pradeep Ravikumar
LLM-Select: Feature Selection with Large Language Models. CoRR (2024)
Sachin Goyal, Pratyush Maini, Zachary C. Lipton, Aditi Raghunathan, J. Zico Kolter
Scaling Laws for Data Filtering - Data Curation cannot be Compute Agnostic. CoRR (2024)
Sanjana Ramprasad, Kundan Krishna, Zachary C. Lipton, Byron C. Wallace
Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains. EACL (2) (2024)
Pratyush Maini, Zhili Feng, Avi Schwarzschild, Zachary C. Lipton, J. Zico Kolter
TOFU: A Task of Fictitious Unlearning for LLMs. CoRR (2024)
Sumukh K. Aithal, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter
Understanding Hallucinations in Diffusion Models through Mode Interpolation. CoRR (2024)
Nil-Jana Akpinar, Zachary C. Lipton, Alexandra Chouldechova
The Impact of Differential Feature Under-reporting on Algorithmic Fairness. CoRR (2024)
Yewon Byun, Dylan Sam, Michael Oberst, Zachary C. Lipton, Bryan Wilder
Auditing Fairness under Unobserved Confounding. AISTATS (2024)
Sanjana Ramprasad, Elisa Ferracane, Zachary C. Lipton
Analyzing LLM Behavior in Dialogue Summarization: Unveiling Circumstantial Hallucination Trends. CoRR (2024)
Evan Fellman, Jacob Tyo, Zachary C. Lipton
The Future of Web Data Mining: Insights from Multimodal and Code-based Extraction Methods. CASE (2024)
Hua Shen, Tiffany Knearem, Reshmi Ghosh, Kenan Alkiek, Kundan Krishna, Yachuan Liu, Ziqiao Ma, Savvas Petridis, Yi-Hao Peng, Li Qiwei, Sushrita Rakshit, Chenglei Si, Yutong Xie, Jeffrey P. Bigham, Frank Bentley, Joyce Chai, Zachary C. Lipton, Qiaozhu Mei, Rada Mihalcea, Michael Terry, Diyi Yang, Meredith Ringel Morris, Paul Resnick, David Jurgens
Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions. CoRR (2024)
Sanjana Ramprasad, Elisa Ferracane, Zachary C. Lipton
Analyzing LLM Behavior in Dialogue Summarization: Unveiling Circumstantial Hallucination Trends. ACL (1) (2024)
Nave Frost, Zachary C. Lipton, Yishay Mansour, Michal Moshkovitz
Partially Interpretable Models with Guarantees on Coverage and Accuracy. ALT (2024)
Jacob Tyo, Zachary C. Lipton
Contrastive Multiple Instance Learning for Weakly Supervised Person ReID. CoRR (2024)
Divyansh Kaushik, Zachary C. Lipton, Alex John London
Resolving the Human-subjects Status of Machine Learning's Crowdworkers: What ethical framework should govern the interaction of ML researchers and crowdworkers? ACM Queue 21 (6) (2024)
Jacob Tyo, Motolani Olarinre, Youngseog Chung, Zachary C. Lipton
Beyond the Mud: Datasets and Benchmarks for Computer Vision in Off-Road Racing. CoRR (2024)
Yewon Byun, Dylan Sam, Michael Oberst, Zachary C. Lipton, Bryan Wilder
Auditing Fairness under Unobserved Confounding. CoRR (2024)
Divyansh Kaushik, Zachary C. Lipton, Alex John London
Resolving the Human-Subjects Status of ML's Crowdworkers. Commun. ACM 67 (5) (2024)
Shantanu Gupta, David Childers, Zachary C. Lipton
Local Causal Discovery for Estimating Causal Effects. CoRR (2023)
Michael Feffer, Hoda Heidari, Zachary C. Lipton
Moral Machine or Tyranny of the Majority? AAAI (2023)
Helen Zhou, Sivaraman Balakrishnan, Zachary C. Lipton
Domain Adaptation under Missingness Shift. AISTATS (2023)
Kundan Krishna, Saurabh Garg, Jeffrey P. Bigham, Zachary C. Lipton
Downstream Datasets Make Surprisingly Good Pretraining Corpora. ACL (1) (2023)
Yuwen Chen, Helen Zhou, Zachary C. Lipton
MoCo-Transfer: Investigating out-of-distribution contrastive learning for limited-data domains. CoRR (2023)
Shubhanshu Shekhar, Ziyu Xu, Zachary C. Lipton, Pierre J. Liang, Aaditya Ramdas
Risk-limiting Financial Audits via Weighted Sampling without Replacement. CoRR (2023)
Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski
Deep Equilibrium Based Neural Operators for Steady-State PDEs. CoRR (2023)
Helen Zhou, Yuwen Chen, Zachary C. Lipton
Evaluating Model Performance in Medical Datasets Over Time. CHIL (2023)
Michael Feffer, Zachary C. Lipton, Chris Donahue
DeepDrake ft. BTS-GAN and TayloRVC: An Exploratory Analysis of Musical Deepfakes and Hosting Platforms. HCMIR@ISMIR (2023)
Jacob Tyo, Bhuwan Dhingra, Zachary C. Lipton
Valla: Standardizing and Benchmarking Authorship Attribution and Verification Through Empirical Evaluation and Comparative Analysis. IJCNLP (1) (2023)
Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary C. Lipton
RLSbench: Domain Adaptation Under Relaxed Label Shift. CoRR (2023)
Helen Zhou, Yuwen Chen, Zachary C. Lipton
Evaluating Model Performance in Medical Datasets Over Time. CoRR (2023)
Kundan Krishna, Prakhar Gupta, Sanjana Ramprasad, Byron C. Wallace, Jeffrey P. Bigham, Zachary C. Lipton
USB: A Unified Summarization Benchmark Across Tasks and Domains. EMNLP (Findings) (2023)
Michael Feffer, Michael Skirpan, Zachary C. Lipton, Hoda Heidari
From Preference Elicitation to Participatory ML: A Critical Survey & Guidelines for Future Research. AIES (2023)
Dheeraj Baby, Saurabh Garg, Tzu-Ching Yen, Sivaraman Balakrishnan, Zachary C. Lipton, Yu-Xiang Wang
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms. NeurIPS (2023)
Jacob Tyo, Youngseog Chung, Motolani Olarinre, Zachary C. Lipton
Reading Between the Mud: A Challenging Motorcycle Racer Number Dataset. CoRR (2023)
Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski
Deep Equilibrium Based Neural Operators for Steady-State PDEs. NeurIPS (2023)
Micah Goldblum, Anima Anandkumar, Richard G. Baraniuk, Tom Goldstein, Kyunghyun Cho, Zachary C. Lipton, Melanie Mitchell, Preetum Nakkiran, Max Welling, Andrew Gordon Wilson
Perspectives on the State and Future of Deep Learning - 2023. CoRR (2023)
Shubhanshu Shekhar, Ziyu Xu, Zachary C. Lipton, Pierre J. Liang, Aaditya Ramdas
Risk-limiting financial audits via weighted sampling without replacement. UAI (2023)
Alex Mei, Michael Saxon, Shiyu Chang, Zachary C. Lipton, William Yang Wang
Users are the North Star for AI Transparency. CoRR (2023)
Saurabh Garg, Amrith Setlur, Zachary C. Lipton, Sivaraman Balakrishnan, Virginia Smith, Aditi Raghunathan
Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift. NeurIPS (2023)
Michael Feffer, Hoda Heidari, Zachary C. Lipton
Moral Machine or Tyranny of the Majority? CoRR (2023)
Liu Leqi, Giulio Zhou, Fatma Kilinç-Karzan, Zachary C. Lipton, Alan L. Montgomery
A Field Test of Bandit Algorithms for Recommendations: Understanding the Validity of Assumptions on Human Preferences in Multi-armed Bandits. CHI (2023)
Mrigank Raman, Pratyush Maini, J. Zico Kolter, Zachary C. Lipton, Danish Pruthi
Model-tuning Via Prompts Makes NLP Models Adversarially Robust. CoRR (2023)
Jennifer Hsia, Danish Pruthi, Aarti Singh, Zachary C. Lipton
Goodhart's Law Applies to NLP's Explanation Benchmarks. CoRR (2023)
Zachary Novack, Saurabh Garg, Julian J. McAuley, Zachary C. Lipton
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets. CoRR (2023)
Jacob Tyo, Motolani Olarinre, Youngseog Chung, Zachary C. Lipton
MUDD: A New Re-Identification Dataset with Efficient Annotation for Off-Road Racers in Extreme Conditions. CoRR (2023)
Kundan Krishna, Prakhar Gupta, Sanjana Ramprasad, Byron C. Wallace, Jeffrey P. Bigham, Zachary C. Lipton
USB: A Unified Summarization Benchmark Across Tasks and Domains. CoRR (2023)
Pratyush Maini, Michael C. Mozer, Hanie Sedghi, Zachary C. Lipton, J. Zico Kolter, Chiyuan Zhang
Can Neural Network Memorization Be Localized? CoRR (2023)
Dhananjay Ashok, Zachary C. Lipton
PromptNER: Prompting For Named Entity Recognition. CoRR (2023)
Tom Yan, Shantanu Gupta, Zachary C. Lipton
Discovering Optimal Scoring Mechanisms in Causal Strategic Prediction. CoRR (2023)
Pratyush Maini, Sachin Goyal, Zachary C. Lipton, J. Zico Kolter, Aditi Raghunathan
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning. CoRR (2023)
Liu Leqi, Giulio Zhou, Fatma Kilinç-Karzan, Zachary C. Lipton, Alan L. Montgomery
A Field Test of Bandit Algorithms for Recommendations: Understanding the Validity of Assumptions on Human Preferences in Multi-armed Bandits. CoRR (2023)
Jacob Tyo, Zachary C. Lipton
Meta-Learning Mini-Batch Risk Functionals. CoRR (2023)
Mrigank Raman, Pratyush Maini, J. Zico Kolter, Zachary C. Lipton, Danish Pruthi
Model-tuning Via Prompts Makes NLP Models Adversarially Robust. EMNLP (2023)
Riccardo Fogliato, Sina Fazelpour, Shantanu Gupta, Zachary C. Lipton, David Danks
Homophily and Incentive Effects in Use of Algorithms. CoRR (2022)
Saurabh Garg, Sivaraman Balakrishnan, Zachary C. Lipton
Domain Adaptation under Open Set Label Shift. NeurIPS (2022)
Divyansh Kaushik, Zachary C. Lipton, Alex John London
Resolving the Human Subjects Status of Machine Learning's Crowdworkers. CoRR (2022)
Kundan Krishna, Saurabh Garg, Jeffrey P. Bigham, Zachary C. Lipton
Downstream Datasets Make Surprisingly Good Pretraining Corpora. CoRR (2022)
Simran Kaur, Jeremy M. Cohen, Zachary C. Lipton
On the Maximum Hessian Eigenvalue and Generalization. CoRR (2022)
Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour
Modeling Attrition in Recommender Systems with Departing Bandits. AAAI (2022)
Manley Roberts, Pranav Mani, Saurabh Garg, Zachary C. Lipton
Unsupervised Learning under Latent Label Shift. CoRR (2022)
Pratyush Maini, Saurabh Garg, Zachary C. Lipton, J. Zico Kolter
Characterizing Datapoints via Second-Split Forgetting. NeurIPS (2022)
Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour
Modeling Attrition in Recommender Systems with Departing Bandits. CoRR (2022)
Manley Roberts, Pranav Mani, Saurabh Garg, Zachary C. Lipton
Unsupervised Learning under Latent Label Shift. NeurIPS (2022)
Liu Leqi, Audrey Huang, Zachary C. Lipton, Kamyar Azizzadenesheli
Supervised Learning with General Risk Functionals. CoRR (2022)
Zachary Novack, Simran Kaur, Tanya Marwah, Saurabh Garg, Zachary C. Lipton
Disentangling the Mechanisms Behind Implicit Regularization in SGD. CoRR (2022)
Helen Zhou, Cheng Cheng, Kelly J. Shields, Gursimran Kochhar, Tariq Cheema, Zachary C. Lipton, Jeremy C. Weiss
Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19. CoRR (2022)
Danish Pruthi, Rachit Bansal, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen
Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students? Trans. Assoc. Comput. Linguistics 10 (2022)
Helen Zhou, Cheng Cheng, Kelly J. Shields, Gursimran Kochhar, Tariq Cheema, Zachary C. Lipton, Jeremy C. Weiss
Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19. AMIA (2022)
Rasool Fakoor, Jonas Mueller, Zachary C. Lipton, Pratik Chaudhari, Alexander J. Smola
Data drift correction via time-varying importance weight estimator. CoRR (2022)
Riccardo Fogliato, Sina Fazelpour, Shantanu Gupta, Zachary C. Lipton, David Danks
Homophily and Incentive Effects in Use of Algorithms. CogSci (2022)
Anurag Katakkar, Clay H. Yoo, Weiqin Wang, Zachary C. Lipton, Divyansh Kaushik
Practical Benefits of Feature Feedback Under Distribution Shift. BlackboxNLP@EMNLP (2022)
Jacob Tyo, Bhuwan Dhingra, Zachary C. Lipton
On the State of the Art in Authorship Attribution and Authorship Verification. CoRR (2022)
Helen Zhou, Yuwen Chen, Zachary C. Lipton
Model Evaluation in Medical Datasets Over Time. CoRR (2022)
Yi-Fan Zhang, Hanlin Zhang, Zachary C. Lipton, Li Erran Li, Eric P. Xing
Can Transformers be Strong Treatment Effect Estimators? CoRR (2022)
Saurabh Garg, Sivaraman Balakrishnan, Zachary C. Lipton
Domain Adaptation under Open Set Label Shift. CoRR (2022)
Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli
Off-Policy Risk Assessment for Markov Decision Processes. AISTATS (2022)
Pratyush Maini, Saurabh Garg, Zachary C. Lipton, J. Zico Kolter
Characterizing Datapoints via Second-Split Forgetting. CoRR (2022)
Helen Zhou, Sivaraman Balakrishnan, Zachary C. Lipton
Domain Adaptation under Missingness Shift. CoRR (2022)
Liu Leqi, Audrey Huang, Zachary C. Lipton, Kamyar Azizzadenesheli
Supervised Learning with General Risk Functionals. ICML (2022)
Saurabh Garg, Sivaraman Balakrishnan, Zachary C. Lipton, Behnam Neyshabur, Hanie Sedghi
Leveraging Unlabeled Data to Predict Out-of-Distribution Performance. CoRR (2022)
Tanya Marwah, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski
Neural Network Approximations of PDEs Beyond Linearity: Representational Perspective. CoRR (2022)
Siddhant Arora, Danish Pruthi, Norman M. Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations. AAAI (2022)
Liu Leqi, Dylan Hadfield-Menell, Zachary C. Lipton
When Curation Becomes Creation: Algorithms, Microcontent, and the Vanishing Distinction between Platforms and Creators. CoRR (2021)
Liu Leqi, Dylan Hadfield-Menell, Zachary C. Lipton
When curation becomes creation. Commun. ACM 64 (12) (2021)
Saurabh Garg, Yifan Wu, Alex Smola, Sivaraman Balakrishnan, Zachary C. Lipton
Mixture Proportion Estimation and PU Learning: A Modern Approach. CoRR (2021)
Shantanu Gupta, Hao Wang, Zachary C. Lipton, Yuyang Wang
Correcting Exposure Bias for Link Recommendation. CoRR (2021)
Siddhant Arora, Danish Pruthi, Norman M. Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations. CoRR (2021)
Kundan Krishna, Jeffrey P. Bigham, Zachary C. Lipton
Does Pretraining for Summarization Require Knowledge Transfer? EMNLP (Findings) (2021)
Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J. Zico Kolter, Sivaraman Balakrishnan, Zachary C. Lipton, Ruslan Salakhutdinov, Pradeep Ravikumar
On Proximal Policy Optimization's Heavy-tailed Gradients. CoRR (2021)
Liu Leqi, Fatma Kilinç-Karzan, Zachary C. Lipton, Alan L. Montgomery
Rebounding Bandits for Modeling Satiation Effects. NeurIPS (2021)
Tanya Marwah, Zachary C. Lipton, Andrej Risteski
Parametric Complexity Bounds for Approximating PDEs with Neural Networks. CoRR (2021)
Liu Leqi, Dylan Hadfield-Menell, Zachary C. Lipton
When Curation Becomes Creation: Algorithms, microcontent, and the vanishing distinction between platforms and creators. ACM Queue 19 (3) (2021)
Shantanu Gupta, Zachary C. Lipton, David Childers
Efficient Online Estimation of Causal Effects by Deciding What to Observe. NeurIPS (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zachary C. Lipton