Zachary Chase Lipton
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
3
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Towards characterizing the value of edge embeddings in Graph Neural Networks. | Dhruv Rohatgi, Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Ankur Moitra, Andrej Risteski |
| 2024 | ICLR | Time-Varying Propensity Score to Bridge the Gap between the Past and Present. | Rasool Fakoor, Jonas Mueller, Zachary Chase Lipton, Pratik Chaudhari, Alex Smola |
| 2024 | ICLR | T-MARS: Improving Visual Representations by Circumventing Text Feature Learning. | Pratyush Maini, Sachin Goyal, Zachary Chase Lipton, J. Zico Kolter, Aditi Raghunathan |
| 2024 | ICML | Foundations of Testing for Finite-Sample Causal Discovery. | Tom Yan, Ziyu Xu, Zachary Chase Lipton |
| 2023 | ICLR | Disentangling the Mechanisms Behind Implicit Regularization in SGD. | Zachary Novack, Simran Kaur, Tanya Marwah, Saurabh Garg, Zachary Chase Lipton |
| 2023 | ICML | RLSbench: Domain Adaptation Under Relaxed Label Shift. | Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary Chase Lipton |
| 2023 | ICML | Can Neural Network Memorization Be Localized? | Pratyush Maini, Michael Curtis Mozer, Hanie Sedghi, Zachary Chase Lipton, J. Zico Kolter, Chiyuan Zhang |
| 2023 | ICML | Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective. | Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Andrej Risteski |
| 2023 | ICML | CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets. | Zachary Novack, Julian J. McAuley, Zachary Chase Lipton, Saurabh Garg |
| 2022 | ICLR | Leveraging unlabeled data to predict out-of-distribution performance. | Saurabh Garg, Sivaraman Balakrishnan, Zachary Chase Lipton, Behnam Neyshabur, Hanie Sedghi |
| 2021 | AISTATS | Causal Inference with Selectively Deconfounded Data. | Kyra Gan, Andrew A. Li, Zachary Chase Lipton, Sridhar R. Tayur |
| 2021 | ICLR | Explaining the Efficacy of Counterfactually Augmented Data. | Divyansh Kaushik, Amrith Setlur, Eduard H. Hovy, Zachary Chase Lipton |
| 2020 | ICLR | Learning The Difference That Makes A Difference With Counterfactually-Augmented Data. | Divyansh Kaushik, Eduard H. Hovy, Zachary Chase Lipton |
| 2019 | ICML | What is the Effect of Importance Weighting in Deep Learning? | Jonathon Byrd, Zachary Chase Lipton |
| 2018 | ICML | Born-Again Neural Networks. | Tommaso Furlanello, Zachary Chase Lipton, Michael Tschannen, Laurent Itti, Anima Anandkumar |