Theoretically Principled Trade-off between Robustness and Accuracy H Zhang, Y Yu, J Jiao, EP Xing, LE Ghaoui, MI Jordan International Conference on Machine Learning (ICML 2019), 7472--7482, 2019 | 2712 | 2019 |
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks Z Yang, Y Yu, C You, J Steinhardt, Y Ma International Conference on Machine Learning (ICML 2020), 10767-10777, 2020 | 220 | 2020 |
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction Y Yu, KHR Chan, C You, C Song, Y Ma Advances in Neural Information Processing Systems (NeurIPS 2020), 9422--9434, 2020 | 198 | 2020 |
Learning One-hidden-layer ReLU Networks via Gradient Descent X Zhang, Y Yu, L Wang, Q Gu International Conference on Artificial Intelligence and Statistics (AISTATS …, 2019 | 155 | 2019 |
ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction KHR Chan, Y Yu, C You, H Qi, J Wright, Y Ma Journal of Machine Learning Research 23, 1-103, 2022 | 139* | 2022 |
Adversarial vision challenge W Brendel, J Rauber, A Kurakin, N Papernot, B Veliqi, SP Mohanty, ... The NeurIPS'18 Competition, 129-153, 2020 | 66 | 2020 |
Data Poisoning Attacks on Multi-Task Relationship Learning M Zhao, B An, Y Yu, S Liu, SJ Pan AAAI Conference on Artificial Intelligence (AAAI 2018), 2628-2635, 2018 | 53 | 2018 |
White-box transformers via sparse rate reduction Y Yu, S Buchanan, D Pai, T Chu, Z Wu, S Tong, B Haeffele, Y Ma Advances in Neural Information Processing Systems 36, 9422-9457, 2023 | 48 | 2023 |
A primal-dual analysis of global optimality in nonconvex low-rank matrix recovery X Zhang, L Wang, Y Yu, Q Gu International Conference on Machine Learning (ICML 2018), 5857-5866, 2018 | 47 | 2018 |
Boundary thickness and robustness in learning models Y Yang, R Khanna, Y Yu, A Gholami, K Keutzer, JE Gonzalez, ... Advances in Neural Information Processing Systems (NeurIPS 2020), 6223--6234, 2020 | 45 | 2020 |
Predicting Out-of-Distribution Error with the Projection Norm Y Yu, Z Yang, A Wei, Y Ma, J Steinhardt International Conference on Machine Learning, 25721--25746, 2022 | 37 | 2022 |
Robust calibration with multi-domain temperature scaling Y Yu, S Bates, Y Ma, M Jordan Advances in Neural Information Processing Systems 35, 27510-27523, 2022 | 32 | 2022 |
Ctrl: Closed-loop transcription to an ldr via minimaxing rate reduction X Dai, S Tong, M Li, Z Wu, M Psenka, KHR Chan, P Zhai, Y Yu, X Yuan, ... Entropy 24 (4), 456, 2022 | 32* | 2022 |
Adversarial robustness of stabilized neuralodes might be from obfuscated gradients Y Huang, Y Yu, H Zhang, Y Ma, Y Yao Proceedings of the 2nd Mathematical and Scientific Machine Learning Conference, 2021 | 32 | 2021 |
Fast Distributionally Robust Learning with Variance Reduced Min-Max Optimization Y Yu, T Lin, E Mazumdar, MI Jordan International Conference on Artificial Intelligence and Statistics (AISTATS …, 2022 | 29 | 2022 |
TCT: Convexifying federated learning using bootstrapped neural tangent kernels Y Yu, A Wei, SP Karimireddy, Y Ma, M Jordan Advances in Neural Information Processing Systems 35, 30882-30897, 2022 | 25 | 2022 |
On the Convergence of Stochastic Extragradient for Bilinear Games with Restarted Iteration Averaging CJ Li, Y Yu, N Loizou, G Gidel, Y Ma, NL Roux, MI Jordan Proceedings of The 25th International Conference on Artificial Intelligence …, 2022 | 24 | 2022 |
An empirical study of pre-trained vision models on out-of-distribution generalization Y Yu, H Jiang, D Bahri, H Mobahi, S Kim, AS Rawat, A Veit, Y Ma NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and …, 2021 | 22 | 2021 |
What you see is what you get: Principled deep learning via distributional generalization B Kulynych, YY Yang, Y Yu, J Błasiok, P Nakkiran Advances in Neural Information Processing Systems 35, 2168-2183, 2022 | 19* | 2022 |
Understanding generalization in adversarial training via the bias-variance decomposition Y Yu, Z Yang, E Dobriban, J Steinhardt, Y Ma arXiv preprint arXiv:2103.09947, 2021 | 17 | 2021 |