| Low-rank tucker approximation of a tensor from streaming data Y Sun, Y Guo, C Luo, J Tropp, M Udell SIAM Journal on Mathematics of Data Science 2 (4), 1123-1150, 2020 | 104 | 2020 |
| Tensor random projection for low memory dimension reduction Y Sun, Y Guo, JA Tropp, M Udell arXiv preprint arXiv:2105.00105, 2021 | 48 | 2021 |
| Towards evaluating the robustness of neural networks learned by transduction J Chen, X Wu, Y Guo, Y Liang, S Jha arXiv preprint arXiv:2110.14735, 2021 | 20 | 2021 |
| Representation bayesian risk decompositions and multi-source domain adaptation X Wu, Y Guo, J Chen, Y Liang, S Jha, P Chalasani arXiv preprint arXiv:2004.10390, 2020 | 11 | 2020 |
| Towards adversarial robustness via transductive learning J Chen, Y Guo, X Wu, T Li, Q Lao, Y Liang, S Jha arXiv preprint arXiv:2106.08387, 2021 | 6 | 2021 |
| Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning J Zhang, L Jain, Y Guo, J Chen, KL Zhou, S Suresh, A Wagenmaker, ... arXiv preprint arXiv:2406.10522, 2024 | | 2024 |
| Two Heads are Better than One: Towards Better Adversarial Robustness by Combining Transduction and Rejection N Palumbo, Y Guo, X Wu, J Chen, Y Liang, S Jha arXiv preprint arXiv:2305.17528, 2023 | | 2023 |
| Low Rank Tucker Approximation of a Tensor from Streaming Data M Udell, Y Sun, Y Guo, C Luo, J Tropp | | 2019 |
| Two Heads are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection N Palumbo, Y Guo, X Wu, J Chen, Y Liang, S Jha Forty-first International Conference on Machine Learning, 0 | | |
| Best of Both Worlds: Towards Adversarial Robustness with Transduction and Rejection N Palumbo, X Wu, Y Guo, J Chen, Y Liang, S Jha NeurIPS ML Safety Workshop, 0 | | |
| Test-Time Adaptation and Adversarial Robustness X Wu, Y Guo, T Li, J Chen, Q Lao, Y Liang, S Jha | | |
Madeleine UdellAssistant Professor, Management Science and Engineering, Stanford UniversityVerified email at stanford.edu
