Runtian Zhai

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Nadaraya Watson

Top Venues

Publications

Runtian Zhai, Rattana Pukdee, Roger Jin, Maria-Florina Balcan, Pradeep Ravikumar
Spectrally Transformed Kernel Regression. CoRR (2024)
Runtian Zhai, Rattana Pukdee, Roger Jin, Maria-Florina Balcan, Pradeep Kumar Ravikumar
Spectrally Transformed Kernel Regression. ICLR (2024)
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)
Yash Gupta, Runtian Zhai, Arun Sai Suggala, Pradeep Ravikumar
Responsible AI (RAI) Games and Ensembles. NeurIPS (2023)
Yash Gupta, Runtian Zhai, Arun Sai Suggala, Pradeep Ravikumar
Responsible AI (RAI) Games and Ensembles. CoRR (2023)
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)
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 (2023)
Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Kumar Ravikumar
Understanding Why Generalized Reweighting Does Not Improve Over ERM. ICLR (2023)
Runtian Zhai, Bingbin Liu, Andrej Risteski, Zico Kolter, Pradeep Ravikumar
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation. CoRR (2023)
Yuzhe Lu, Zhenlin Wang, Runtian Zhai, Soheil Kolouri, Joseph Campbell, Katia P. Sycara
Predicting Out-of-Distribution Error with Confidence Optimal Transport. CoRR (2023)
Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar
Understanding Why Generalized Reweighting Does Not Improve Over ERM. CoRR (2022)
Runtian Zhai, Chen Dan, Arun Sai Suggala, J. Zico Kolter, Pradeep Ravikumar
Boosted CVaR Classification. NeurIPS (2021)
Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar
DORO: Distributional and Outlier Robust Optimization. ICML (2021)
Runtian Zhai, Chen Dan, Arun Sai Suggala, J. Zico Kolter, Pradeep Ravikumar
Boosted CVaR Classification. CoRR (2021)
Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar
DORO: Distributional and Outlier Robust Optimization. CoRR (2021)
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)
Yunzhen Feng, Runtian Zhai, Di He, Liwei Wang, Bin Dong
Transferred Discrepancy: Quantifying the Difference Between Representations. CoRR (2020)
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. CoRR (2020)
Runtian Zhai, Tianle Cai, Di He, Chen Dan, Kun He, John E. Hopcroft, Liwei Wang
Adversarially Robust Generalization Just Requires More Unlabeled Data. CoRR (2019)