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Runtian Zhai
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2020 – today
- 2024
- [c8]Runtian Zhai, Bingbin Liu, Andrej Risteski, J. Zico Kolter, Pradeep Kumar Ravikumar:
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression. ICLR 2024 - [c7]Runtian Zhai, Rattana Pukdee, Roger Jin, Maria-Florina Balcan, Pradeep Kumar Ravikumar:
Spectrally Transformed Kernel Regression. ICLR 2024 - [i11]Runtian Zhai, Rattana Pukdee, Roger Jin, Maria-Florina Balcan, Pradeep Ravikumar:
Spectrally Transformed Kernel Regression. CoRR abs/2402.00645 (2024) - 2023
- [c6]Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Kumar Ravikumar:
Understanding Why Generalized Reweighting Does Not Improve Over ERM. ICLR 2023 - [c5]Yash Gupta, Runtian Zhai, Arun Sai Suggala, Pradeep Ravikumar:
Responsible AI (RAI) Games and Ensembles. NeurIPS 2023 - [c4]Yuzhe Lu, Yilong Qin, Runtian Zhai, Andrew Shen, Ketong Chen, Zhenlin Wang, Soheil Kolouri, Simon Stepputtis, Joseph Campbell, Katia P. Sycara:
Characterizing Out-of-Distribution Error via Optimal Transport. NeurIPS 2023 - [i10]Yuzhe Lu, Zhenlin Wang, Runtian Zhai, Soheil Kolouri, Joseph Campbell, Katia P. Sycara:
Predicting Out-of-Distribution Error with Confidence Optimal Transport. CoRR abs/2302.05018 (2023) - [i9]Yuzhe Lu, Yilong Qin, Runtian Zhai, Andrew Shen, Ketong Chen, Zhenlin Wang, Soheil Kolouri, Simon Stepputtis, Joseph Campbell, Katia P. Sycara:
Characterizing Out-of-Distribution Error via Optimal Transport. CoRR abs/2305.15640 (2023) - [i8]Runtian Zhai, Bingbin Liu, Andrej Risteski, Zico Kolter, Pradeep Ravikumar:
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation. CoRR abs/2306.00788 (2023) - [i7]Yash Gupta, Runtian Zhai, Arun Sai Suggala, Pradeep Ravikumar:
Responsible AI (RAI) Games and Ensembles. CoRR abs/2310.18832 (2023) - 2022
- [i6]Runtian Zhai
, Chen Dan, J. Zico Kolter, Pradeep Ravikumar:
Understanding Why Generalized Reweighting Does Not Improve Over ERM. CoRR abs/2201.12293 (2022) - 2021
- [c3]Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar:
DORO: Distributional and Outlier Robust Optimization. ICML 2021: 12345-12355 - [c2]Runtian Zhai, Chen Dan, Arun Sai Suggala, J. Zico Kolter, Pradeep Ravikumar:
Boosted CVaR Classification. NeurIPS 2021: 21860-21871 - [i5]Runtian Zhai
DORO: Distributional and Outlier Robust Optimization. CoRR abs/2106.06142 (2021) - [i4]Runtian Zhai
Boosted CVaR Classification. CoRR abs/2110.13948 (2021) - 2020
- [c1]Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang:
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. ICLR 2020 - [i3]Runtian Zhai
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. CoRR abs/2001.02378 (2020) - [i2]Yunzhen Feng, Runtian Zhai, Di He, Liwei Wang, Bin Dong:
Transferred Discrepancy: Quantifying the Difference Between Representations. CoRR abs/2007.12446 (2020)
2010 – 2019
- 2019
- [i1]Runtian Zhai
Adversarially Robust Generalization Just Requires More Unlabeled Data. CoRR abs/1906.00555 (2019)
Coauthor Index
aka: Pradeep Kumar Ravikumar
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