Runtian Zhai - RankMe

22 papers A* 9Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Contextures: Representations from Contexts. ICML Runtian Zhai, Kai Yang, Burak Varici, Che-Ping Tsai, J. Zico Kolter, Pradeep Kumar Ravikumar
2025	J	`jnl`	Contextures: Representations from Contexts. CoRR Runtian Zhai, Kai Yang, Che-Ping Tsai, Burak Varici, Zico Kolter, Pradeep Ravikumar
2025	J	`jnl`	Contextures: The Mechanism of Representation Learning. CoRR Runtian Zhai
2024	A*	`conf`	Spectrally Transformed Kernel Regression. ICLR Runtian Zhai, Rattana Pukdee, Roger Jin, Maria-Florina Balcan, Pradeep Kumar Ravikumar
2024	J	`jnl`	Spectrally Transformed Kernel Regression. CoRR Runtian Zhai, Rattana Pukdee, Roger Jin, Maria-Florina Balcan, Pradeep Ravikumar
2024	A*	`conf`	Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression. ICLR Runtian Zhai, Bingbin Liu, Andrej Risteski, J. Zico Kolter, Pradeep Kumar Ravikumar
2023	A*	`conf`	Characterizing Out-of-Distribution Error via Optimal Transport. NeurIPS Yuzhe Lu, Yilong Qin, Runtian Zhai, Andrew Shen, Ketong Chen, Zhenlin Wang, Soheil Kolouri, Simon Stepputtis, Joseph Campbell, Katia P. Sycara
2023	J	`jnl`	Characterizing Out-of-Distribution Error via Optimal Transport. CoRR Yuzhe Lu, Yilong Qin, Runtian Zhai, Andrew Shen, Ketong Chen, Zhenlin Wang, Soheil Kolouri, Simon Stepputtis, Joseph Campbell, Katia P. Sycara
2023	J	`jnl`	Predicting Out-of-Distribution Error with Confidence Optimal Transport. CoRR Yuzhe Lu, Zhenlin Wang, Runtian Zhai, Soheil Kolouri, Joseph Campbell, Katia P. Sycara
2023	A*	`conf`	Responsible AI (RAI) Games and Ensembles. NeurIPS Yash Gupta, Runtian Zhai, Arun Suggala, Pradeep Ravikumar
2023	J	`jnl`	Responsible AI (RAI) Games and Ensembles. CoRR Yash Gupta, Runtian Zhai, Arun Suggala, Pradeep Ravikumar
2023	J	`jnl`	Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation. CoRR Runtian Zhai, Bingbin Liu, Andrej Risteski, Zico Kolter, Pradeep Ravikumar
2023	A*	`conf`	Understanding Why Generalized Reweighting Does Not Improve Over ERM. ICLR Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Kumar Ravikumar
2022	J	`jnl`	Understanding Why Generalized Reweighting Does Not Improve Over ERM. CoRR Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar
2021	A*	`conf`	Boosted CVaR Classification. NeurIPS Runtian Zhai, Chen Dan, Arun Sai Suggala, J. Zico Kolter, Pradeep Ravikumar
2021	J	`jnl`	Boosted CVaR Classification. CoRR Runtian Zhai, Chen Dan, Arun Sai Suggala, J. Zico Kolter, Pradeep Ravikumar
2021	A*	`conf`	DORO: Distributional and Outlier Robust Optimization. ICML Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar
2021	J	`jnl`	DORO: Distributional and Outlier Robust Optimization. CoRR Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar
2020	A*	`conf`	MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. ICLR Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang
2020	J	`jnl`	MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. CoRR Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang
2020	J	`jnl`	Transferred Discrepancy: Quantifying the Difference Between Representations. CoRR Yunzhen Feng, Runtian Zhai, Di He, Liwei Wang, Bin Dong
2019	J	`jnl`	Adversarially Robust Generalization Just Requires More Unlabeled Data. CoRR Runtian Zhai, Tianle Cai, Di He, Chen Dan, Kun He, John E. Hopcroft, Liwei Wang