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Runtian Zhai
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MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius
R Zhai, C Dan, D He, H Zhang, B Gong, P Ravikumar, CJ Hsieh, L Wang
ICLR 2020, 2020
2012020
Adversarially Robust Generalization Just Requires More Unlabeled Data
R Zhai, T Cai, D He, C Dan, K He, J Hopcroft, L Wang
arXiv preprint arXiv:1906.00555, 2019
1772019
DORO: Distributional and Outlier Robust Optimization
R Zhai, C Dan, JZ Kolter, P Ravikumar
ICML 2021, 2021
722021
Understanding Why Generalized Reweighting Does Not Improve Over ERM
R Zhai, C Dan, Z Kolter, P Ravikumar
ICLR 2023, 2022
302022
Boosted CVaR Classification
R Zhai, C Dan, AS Suggala, Z Kolter, P Ravikumar
NeurIPS 2021, 2021
252021
Predicting Out-of-Distribution Error with Confidence Optimal Transport
Y Lu, Z Wang, R Zhai, S Kolouri, J Campbell, K Sycara
ICLR 2023 Trustworthy ML Workshop, 2023
222023
Characterizing Out-of-Distribution Error via Optimal Transport
Y Lu, Y Qin, R Zhai, A Shen, K Chen, Z Wang, S Kolouri, S Stepputtis, ...
NeurIPS 2023, 2023
182023
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression
R Zhai, B Liu, A Risteski, Z Kolter, P Ravikumar
ICLR 2024 Spotlight, 2023
142023
Transferred Discrepancy: Quantifying the Difference Between Representations
Y Feng, R Zhai, D He, L Wang, B Dong
arXiv preprint arXiv:2007.12446, 2020
132020
Pretrain-to-Finetune Adversarial Training via Sample-wise Randomized Smoothing
L Wang, R Zhai, D He, L Wang, L Jian
62020
Spectrally Transformed Kernel Regression
R Zhai, R Pukdee, R Jin, MF Balcan, P Ravikumar
ICLR 2024 Spotlight, 2024
22024
Responsible AI (RAI) Games and Ensembles
Y Gupta, R Zhai, A Suggala, P Ravikumar
NeurIPS 2023, 2023
22023
Online Continual Learning for Progressive Distribution Shift (OCL-PDS): A Practitioner's Perspective
R Zhai, S Schroedl, A Galstyan, A Kumar, G Ver Steeg, P Natarajan
ICLR 2023 Workshop: What do we need for successful domain generalization?, 2023
22023
Augmentation Alone Leads to Generalization
R Zhai, B Liu, A Risteski, JZ Kolter, PK Ravikumar
ICLR 2024 Workshop on Reliable and Responsible Foundation Models, 2024
2024
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