Zhai, Runtian

12 publications

ICML 2025 Contextures: Representations from Contexts Runtian Zhai, Kai Yang, Burak Varıcı, Che-Ping Tsai, J Zico Kolter, Pradeep Kumar Ravikumar

ICLRW 2024 Augmentation Alone Leads to Generalization Runtian Zhai, Bingbin Liu, Andrej Risteski, J Zico Kolter, Pradeep Kumar Ravikumar

ICLR 2024 Spectrally Transformed Kernel Regression Runtian Zhai, Rattana Pukdee, Roger Jin, Maria Florina Balcan, Pradeep Kumar Ravikumar

ICLR 2024 Understanding Augmentation-Based Self-Supervised Representation Learning via RKHS Approximation and Regression Runtian Zhai, Bingbin Liu, Andrej Risteski, J Zico Kolter, Pradeep Kumar Ravikumar

NeurIPS 2023 Characterizing Out-of-Distribution Error via Optimal Transport Yuzhe Lu, Yilong Qin, Runtian Zhai, Andrew Shen, Ketong Chen, Zhenlin Wang, Soheil Kolouri, Simon Stepputtis, Joseph P. Campbell, Katia Sycara

NeurIPSW 2023 Characterizing Out-of-Distribution Error via Optimal Transport Yuzhe Lu, Yilong Qin, Runtian Zhai, Andrew Shen, Ketong Chen, Zhenlin Wang, Soheil Kolouri, Simon Stepputtis, Joseph Campbell, Katia Sycara

ICLRW 2023 Predicting Out-of-Distribution Error with Confidence Optimal Transport Yuzhe Lu, Zhenlin Wang, Runtian Zhai, Soheil Kolouri, Joseph Campbell, Katia P. Sycara

NeurIPS 2023 Responsible AI (RAI) Games and Ensembles Yash Gupta, Runtian Zhai, Arun Suggala, Pradeep K. Ravikumar

ICLR 2023 Understanding Why Generalized Reweighting Does Not Improve over ERM Runtian Zhai, Chen Dan, J Zico Kolter, Pradeep Kumar Ravikumar

NeurIPS 2021 Boosted CVaR Classification Runtian Zhai, Chen Dan, Arun Suggala, J. Zico Kolter, Pradeep K. Ravikumar

ICML 2021 DORO: Distributional and Outlier Robust Optimization Runtian Zhai, Chen Dan, Zico Kolter, Pradeep Ravikumar

ICLR 2020 MACER: Attack-Free and Scalable Robust Training via Maximizing Certified Radius Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang