Learning Sparse Distributions using Iterative Hard Thresholding. - Jacky Y. Zhang; Rajiv Khanna; Anastasios Kyrillidis; Oluwasanmi Koyejo (NeurIPS, 2019)

Does Adversarial Transferability Indicate Knowledge Transferability? - Kaizhao Liang; Jacky Y. Zhang; Oluwasanmi Koyejo; Bo Li 026 (CoRR, 2020)

Bayesian Coresets: An Optimization Perspective. - Jacky Y. Zhang; Rajiv Khanna; Anastasios Kyrillidis; Oluwasanmi Koyejo (CoRR, 2020)

Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability. - Kaizhao Liang; Jacky Y. Zhang; Boxin Wang; Zhuolin Yang; Sanmi Koyejo; Bo Li 026 (ICML, 2021)

Labeling Cost Sensitive Batch Active Learning For Brain Tumor Segmentation. - Maohao Shen; Jacky Y. Zhang; Leihao Chen; Weiman Yan; Neel Jani; Brad Sutton; Oluwasanmi Koyejo (ISBI, 2021)

Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization. - Xiaojun Xu; Jacky Y. Zhang; Evelyn Ma; Hyun Ho Son; Sanmi Koyejo; Bo Li 026 (ICML, 2022)

Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization. - Xiaojun Xu; Jacky Yibo Zhang; Evelyn Ma; Danny Son; Oluwasanmi Koyejo; Bo Li 026 (CoRR, 2022)

Batch Active Learning from the Perspective of Sparse Approximation. - Maohao Shen; Bowen Jiang 001; Jacky Yibo Zhang; Oluwasanmi Koyejo (CoRR, 2022)

Can Public Large Language Models Help Private Cross-device Federated Learning? - Boxin Wang; Jacky Yibo Zhang; Yuan Cao; Bo Li 026; H. Brendan McMahan; Sewoong Oh; Zheng Xu 002; Manzil Zaheer (CoRR, 2023)