Zachary Chase Lipton

41 papers A* 16A 1Journal 18Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Expert Routing with Synthetic Data for Domain Incremental Learning. Trans. Mach. Learn. Res. Yewon Byun, Sanket Vaibhav Mehta, Saurabh Garg, Emma Strubell, Michael Oberst, Bryan Wilder, Zachary Chase Lipton
2025	J	`jnl`	LLM-Select: Feature Selection with Large Language Models. Trans. Mach. Learn. Res. Daniel P. Jeong, Zachary Chase Lipton, Pradeep Kumar Ravikumar
2025	A*	`conf`	Towards characterizing the value of edge embeddings in Graph Neural Networks. ICML Dhruv Rohatgi, Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Ankur Moitra, Andrej Risteski
2024	A*	`conf`	Foundations of Testing for Finite-Sample Causal Discovery. ICML Tom Yan, Ziyu Xu, Zachary Chase Lipton
2024	J	`jnl`	Post-Hoc Reversal: Are We Selecting Models Prematurely? CoRR Rishabh Ranjan, Saurabh Garg, Mrigank Raman, Carlos Guestrin, Zachary Chase Lipton
2024	A*	`conf`	T-MARS: Improving Visual Representations by Circumventing Text Feature Learning. ICLR Pratyush Maini, Sachin Goyal, Zachary Chase Lipton, J. Zico Kolter, Aditi Raghunathan
2024	A*	`conf`	Time-Varying Propensity Score to Bridge the Gap between the Past and Present. ICLR Rasool Fakoor, Jonas Mueller, Zachary Chase Lipton, Pratik Chaudhari, Alex Smola
2024	J	`jnl`	Towards characterizing the value of edge embeddings in Graph Neural Networks. CoRR Dhruv Rohatgi, Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Ankur Moitra, Andrej Risteski
2023	A*	`conf`	CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets. ICML Zachary Novack, Julian J. McAuley, Zachary Chase Lipton, Saurabh Garg
2023	A*	`conf`	Can Neural Network Memorization Be Localized? ICML Pratyush Maini, Michael Curtis Mozer, Hanie Sedghi, Zachary Chase Lipton, J. Zico Kolter, Chiyuan Zhang
2023	J	`jnl`	Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift. CoRR Saurabh Garg, Amrith Setlur, Zachary Chase Lipton, Sivaraman Balakrishnan, Virginia Smith, Aditi Raghunathan
2023	A*	`conf`	Disentangling the Mechanisms Behind Implicit Regularization in SGD. ICLR Zachary Novack, Simran Kaur, Tanya Marwah, Saurabh Garg, Zachary Chase Lipton
2023	J	`jnl`	Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation. Trans. Mach. Learn. Res. Yifan Zhang, Hanlin Zhang, Zachary Chase Lipton, Li Erran Li, Eric P. Xing
2023	—	`conf`	Local Causal Discovery for Estimating Causal Effects. CLeaR Shantanu Gupta, David Childers, Zachary Chase Lipton
2023	A*	`conf`	Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective. ICML Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Andrej Risteski
2023	J	`jnl`	Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms. CoRR Dheeraj Baby, Saurabh Garg, Tzu-Ching Yen, Sivaraman Balakrishnan, Zachary Chase Lipton, Yu-Xiang Wang
2023	A*	`conf`	RLSbench: Domain Adaptation Under Relaxed Label Shift. ICML Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary Chase Lipton
2023	—	`conf`	Reliable deep learning in dynamic environments. Computer-Aided Diagnosis Zachary Chase Lipton
2022	A*	`conf`	Leveraging unlabeled data to predict out-of-distribution performance. ICLR Saurabh Garg, Sivaraman Balakrishnan, Zachary Chase Lipton, Behnam Neyshabur, Hanie Sedghi
2022	J	`jnl`	Off-Policy Risk Assessment in Markov Decision Processes. CoRR Audrey Huang, Liu Leqi, Zachary Chase Lipton, Kamyar Azizzadenesheli
2022	—	`conf`	On the Maximum Hessian Eigenvalue and Generalization. ICBINB Simran Kaur, Jeremy Cohen, Zachary Chase Lipton
2021	A	`conf`	Causal Inference with Selectively Deconfounded Data. AISTATS Kyra Gan, Andrew A. Li, Zachary Chase Lipton, Sridhar R. Tayur
2021	A*	`conf`	Explaining the Efficacy of Counterfactually Augmented Data. ICLR Divyansh Kaushik, Amrith Setlur, Eduard H. Hovy, Zachary Chase Lipton
2020	A*	`conf`	Learning The Difference That Makes A Difference With Counterfactually-Augmented Data. ICLR Divyansh Kaushik, Eduard H. Hovy, Zachary Chase Lipton
2019	A*	`conf`	Game Design for Eliciting Distinguishable Behavior. NeurIPS Fan Yang, Liu Leqi, Yifan Wu, Zachary Chase Lipton, Pradeep Ravikumar, Tom M. Mitchell, William W. Cohen
2019	J	`jnl`	Temporal-Clustering Invariance in Irregular Healthcare Time Series. CoRR Mohammad Taha Bahadori, Zachary Chase Lipton
2019	A*	`conf`	What is the Effect of Importance Weighting in Deep Learning? ICML Jonathon Byrd, Zachary Chase Lipton
2018	A*	`conf`	Born-Again Neural Networks. ICML Tommaso Furlanello, Zachary Chase Lipton, Michael Tschannen, Laurent Itti, Anima Anandkumar
2017	—	`conf`	Deep Active Learning for Named Entity Recognition. Rep4NLP@ACL Yanyao Shen, Hyokun Yun, Zachary Chase Lipton, Yakov Kronrod, Animashree Anandkumar
2017	—	`—`	Learning from Temporally-Structured Human Activities Data. Zachary Chase Lipton
2016	J	`jnl`	Directly Modeling Missing Data in Sequences with RNNs: Improved Classification of Clinical Time Series. CoRR Zachary Chase Lipton, David C. Kale, Randall C. Wetzel
2016	A*	`conf`	Learning to Diagnose with LSTM Recurrent Neural Networks. ICLR (Poster) Zachary Chase Lipton, David C. Kale, Charles Elkan, Randall C. Wetzel
2016	J	`jnl`	Stuck in a What? Adventures in Weight Space. CoRR Zachary Chase Lipton
2016	J	`jnl`	The Mythos of Model Interpretability. CoRR Zachary Chase Lipton
2015	J	`jnl`	A Critical Review of Recurrent Neural Networks for Sequence Learning. CoRR Zachary Chase Lipton
2015	J	`jnl`	Capturing Meaning in Product Reviews with Character-Level Generative Text Models. CoRR Zachary Chase Lipton, Sharad Vikram, Julian J. McAuley
2015	J	`jnl`	Efficient Elastic Net Regularization for Sparse Linear Models. CoRR Zachary Chase Lipton, Charles Elkan
2015	J	`jnl`	Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks. CoRR Zachary Chase Lipton, David C. Kale, Randall C. Wetzel
2014	J	`jnl`	Differential Privacy and Machine Learning: a Survey and Review. CoRR Zhanglong Ji, Zachary Chase Lipton, Charles Elkan
2014	J	`jnl`	F1-Optimal Thresholding in the Multi-Label Setting. CoRR Zachary Chase Lipton, Charles Elkan, Balakrishnan Narayanaswamy
2014	—	`conf`	Optimal Thresholding of Classifiers to Maximize F1 Measure. ECML/PKDD (2) Zachary Chase Lipton, Charles Elkan, Balakrishnan Narayanaswamy