Lipton, Zachary Chase

43 publications

TMLR 2025 Expert Routing with Synthetic Data for Domain Incremental Learning Yewon Byun, Sanket Vaibhav Mehta, Saurabh Garg, Emma Strubell, Michael Oberst, Bryan Wilder, Zachary Chase Lipton

TMLR 2025 LLM-Select: Feature Selection with Large Language Models Daniel P Jeong, Zachary Chase Lipton, Pradeep Kumar Ravikumar

NeurIPS 2025 OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics Vineeth Dorna, Anmol Reddy Mekala, Wenlong Zhao, Andrew McCallum, J Zico Kolter, Zachary Chase Lipton, Pratyush Maini

NeurIPS 2025 Position: Towards Bidirectional Human-AI Alignment Hua Shen, Tiffany Knearem, Reshmi Ghosh, Kenan Alkiek, Kundan Krishna, Yachuan Liu, Savvas Petridis, Yi-Hao Peng, Li Qiwei, Chenglei Si, Yutong Xie, Jeffrey P. Bigham, Frank Bentley, Joyce Chai, Zachary Chase Lipton, Qiaozhu Mei, Michael Terry, Diyi Yang, Meredith Ringel Morris, Paul Resnick, David Jurgens

NeurIPS 2025 Safety Pretraining: Toward the Next Generation of Safe AI Pratyush Maini, Sachin Goyal, Dylan Sam, Alexander Robey, Yash Savani, Yiding Jiang, Andy Zou, Matt Fredrikson, Zachary Chase Lipton, J Zico Kolter

ICML 2025 Towards Characterizing the Value of Edge Embeddings in Graph Neural Networks Dhruv Rohatgi, Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Ankur Moitra, Andrej Risteski

NeurIPS 2025 Valid Inference with Imperfect Synthetic Data Yewon Byun, Shantanu Gupta, Zachary Chase Lipton, Rachel Leah Childers, Bryan Wilder

ICML 2024 Foundations of Testing for Finite-Sample Causal Discovery Tom Yan, Ziyu Xu, Zachary Chase Lipton

NeurIPSW 2024 GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence Kundan Krishna, Sanjana Ramprasad, Prakhar Gupta, Byron C Wallace, Zachary Chase Lipton, Jeffrey P. Bigham

ICLRW 2024 Personalized Language Modeling from Personalized Human Feedback Xinyu Li, Zachary Chase Lipton, Liu Leqi

NeurIPSW 2024 Personalized Language Modeling from Personalized Human Feedback Xinyu Li, Ruiyang Zhou, Zachary Chase Lipton, Liu Leqi

NeurIPSW 2024 Rethinking LLM Memorization Through the Lens of Adversarial Compression Avi Schwarzschild, Zhili Feng, Pratyush Maini, Zachary Chase Lipton, J Zico Kolter

ICLR 2024 T-MARS: Improving Visual Representations by Circumventing Text Feature Learning Pratyush Maini, Sachin Goyal, Zachary Chase Lipton, J Zico Kolter, Aditi Raghunathan

ICLRW 2024 TOFU: A Task of Fictitious Unlearning for LLMs Pratyush Maini, Zhili Feng, Avi Schwarzschild, Zachary Chase Lipton, J Zico Kolter

NeurIPSW 2024 TOFU: A Task of Fictitious Unlearning for LLMs Pratyush Maini, Zhili Feng, Avi Schwarzschild, Zachary Chase Lipton, J Zico Kolter

ICLRW 2024 The Science of Data Filtering: Data Curation Cannot Be Compute Agnostic Sachin Goyal, Pratyush Maini, Zachary Chase Lipton, Aditi Raghunathan, J Zico Kolter

ICLR 2024 Time-Varying Propensity Score to Bridge the Gap Between the past and Present Rasool Fakoor, Jonas Mueller, Zachary Chase Lipton, Pratik Chaudhari, Alex Smola

NeurIPSW 2024 Towards Characterizing the Value of Edge Embeddings in Graph Neural Networks Dhruv Rohatgi, Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Ankur Moitra, Andrej Risteski

ICMLW 2024 Understanding Hallucinations in Diffusion Models Through Mode Interpolation Sumukh K Aithal, Pratyush Maini, Zachary Chase Lipton

ICML 2023 CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets Zachary Novack, Julian Mcauley, Zachary Chase Lipton, Saurabh Garg

ICLRW 2023 CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets Zachary Novack, Julian McAuley, Zachary Chase Lipton, Saurabh Garg

ICML 2023 Can Neural Network Memorization Be Localized? Pratyush Maini, Michael Curtis Mozer, Hanie Sedghi, Zachary Chase Lipton, J Zico Kolter, Chiyuan Zhang

ICMLW 2023 Conditional Diffusion Replay for Continual Learning in Medical Settings Yewon Byun, Saurabh Garg, Sanket Vaibhav Mehta, Praveer Singh, Jayashree Kalpathy-cramer, Bryan Wilder, Zachary Chase Lipton

ICMLW 2023 Deep Equilibrium Based Neural Operators for Steady-State PDEs Tanya Marwah, Ashwini Pokle, J Zico Kolter, Zachary Chase Lipton, Jianfeng Lu, Andrej Risteski

ICLR 2023 Disentangling the Mechanisms Behind Implicit Regularization in SGD Zachary Novack, Simran Kaur, Tanya Marwah, Saurabh Garg, Zachary Chase Lipton

TMLR 2023 Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation YiFan Zhang, Hanlin Zhang, Zachary Chase Lipton, Li Erran Li, Eric Xing

ICMLW 2023 Identifying Inequity in Treatment Allocation Yewon Byun, Dylan Sam, Zachary Chase Lipton, Bryan Wilder

CLeaR 2023 Local Causal Discovery for Estimating Causal Effects Shantanu Gupta, David Childers, Zachary Chase Lipton

ICMLW 2023 Model-Tuning via Prompts Makes NLP Models Adversarially Robust Mrigank Raman, Pratyush Maini, J Zico Kolter, Zachary Chase Lipton, Danish Pruthi

ICML 2023 Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Andrej Risteski

ICML 2023 RLSbench: Domain Adaptation Under Relaxed Label Shift Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary Chase Lipton

ICMLW 2022 Characterizing Datapoints via Second-Split Forgetting Pratyush Maini, Saurabh Garg, Zachary Chase Lipton, J Zico Kolter

ICMLW 2022 Domain Adaptation Under Open Set Label Shift Saurabh Garg, Sivaraman Balakrishnan, Zachary Chase Lipton

NeurIPSW 2022 Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation YiFan Zhang, Hanlin Zhang, Zachary Chase Lipton, Li Erran Li, Eric Xing

ICLR 2022 Leveraging Unlabeled Data to Predict Out-of-Distribution Performance Saurabh Garg, Sivaraman Balakrishnan, Zachary Chase Lipton, Behnam Neyshabur, Hanie Sedghi

NeurIPSW 2022 Local Causal Discovery for Estimating Causal Effects Shantanu Gupta, David Childers, Zachary Chase Lipton

NeurIPSW 2022 On the Maximum Hessian Eigenvalue and Generalization Simran Kaur, Jeremy Cohen, Zachary Chase Lipton

NeurIPSW 2022 RLSBench: A Large-Scale Empirical Study of Domain Adaptation Under Relaxed Label Shift Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary Chase Lipton

ICMLW 2022 Unsupervised Learning Under Latent Label Shift Pranav Mani, Manley Roberts, Saurabh Garg, Zachary Chase Lipton

ICLR 2021 Explaining the Efficacy of Counterfactually Augmented Data Divyansh Kaushik, Amrith Setlur, Eduard H Hovy, Zachary Chase Lipton

NeurIPSW 2021 Leveraging Unlabeled Data to Predict Out-of-Distribution Performance Saurabh Garg, Sivaraman Balakrishnan, Zachary Chase Lipton, Behnam Neyshabur, Hanie Sedghi

ICLR 2016 Learning to Diagnose with LSTM Recurrent Neural Networks Zachary Chase Lipton, David C. Kale, Charles Elkan, Randall C. Wetzel

ECML-PKDD 2014 Optimal Thresholding of Classifiers to Maximize F1 Measure Zachary Chase Lipton, Charles Elkan, Balakrishnan Narayanaswamy