Yaodong Yu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
8
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation. | Amartya Sanyal, Yaxi Hu, Yaodong Yu, Yian Ma, Yixin Wang, Bernhard Schlkopf |
| 2025 | CVPR | Adventurer: Optimizing Vision Mamba Architecture Designs for Efficiency. | Feng Wang, Timing Yang, Yaodong Yu, Sucheng Ren, Guoyizhe Wei, Angtian Wang, Wei Shao, Yuyin Zhou, Alan L. Yuille, Cihang Xie |
| 2025 | ICLR | Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction. | Ziyang Wu, Tianjiao Ding, Yifu Lu, Druv Pai, Jingyuan Zhang, Weida Wang, Yaodong Yu, Yi Ma, Benjamin David Haeffele |
| 2025 | ICML | Scaling Laws in Patchification: An Image Is Worth 50, 176 Tokens And More. | Feng Wang, Yaodong Yu, Wei Shao, Yuyin Zhou, Alan L. Yuille, Cihang Xie |
| 2025 | ICML | Attention-Only Transformers via Unrolled Subspace Denoising. | Peng Wang, Yifu Lu, Yaodong Yu, Druv Pai, Qing Qu, Yi Ma |
| 2024 | ICLR | Masked Completion via Structured Diffusion with White-Box Transformers. | Druv Pai, Sam Buchanan, Ziyang Wu, Yaodong Yu, Yi Ma |
| 2024 | ICML | A Global Geometric Analysis of Maximal Coding Rate Reduction. | Peng Wang, Huikang Liu, Druv Pai, Yaodong Yu, Zhihui Zhu, Qing Qu, Yi Ma |
| 2024 | ICML | Differentially Private Representation Learning via Image Captioning. | Tom Sander, Yaodong Yu, Maziar Sanjabi, Alain Oliviero Durmus, Yi Ma, Kamalika Chaudhuri, Chuan Guo |
| 2024 | ICML | ViP: A Differentially Private Foundation Model for Computer Vision. | Yaodong Yu, Maziar Sanjabi, Yi Ma, Kamalika Chaudhuri, Chuan Guo |
| 2024 | NAACL | A Study on the Calibration of In-context Learning. | Hanlin Zhang, Yifan Zhang, Yaodong Yu, Dhruv Madeka, Dean P. Foster, Eric P. Xing, Himabindu Lakkaraju, Sham M. Kakade |
| 2023 | ICML | Federated Conformal Predictors for Distributed Uncertainty Quantification. | Charles Lu, Yaodong Yu, Sai Praneeth Karimireddy, Michael I. Jordan, Ramesh Raskar |
| 2022 | AISTATS | On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging. | Chris Junchi Li, Yaodong Yu, Nicolas Loizou, Gauthier Gidel, Yi Ma, Nicolas Le Roux, Michael I. Jordan |
| 2022 | AISTATS | Fast Distributionally Robust Learning with Variance-Reduced Min-Max Optimization. | Yaodong Yu, Tianyi Lin, Eric V. Mazumdar, Michael I. Jordan |
| 2022 | EMNLP | Conditional Supervised Contrastive Learning for Fair Text Classification. | Jianfeng Chi, William Shand, Yaodong Yu, Kai-Wei Chang, Han Zhao, Yuan Tian |
| 2022 | ICML | Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback. | Tianyi Lin, Aldo Pacchiano, Yaodong Yu, Michael I. Jordan |
| 2022 | ICML | Predicting Out-of-Distribution Error with the Projection Norm. | Yaodong Yu, Zitong Yang, Alexander Wei, Yi Ma, Jacob Steinhardt |
| 2020 | ICML | Rethinking Bias-Variance Trade-off for Generalization of Neural Networks. | Zitong Yang, Yaodong Yu, Chong You, Jacob Steinhardt, Yi Ma |
| 2019 | AISTATS | Learning One-hidden-layer ReLU Networks via Gradient Descent. | Xiao Zhang, Yaodong Yu, Lingxiao Wang, Quanquan Gu |
| 2019 | ICML | Theoretically Principled Trade-off between Robustness and Accuracy. | Hongyang Zhang, Yaodong Yu, Jiantao Jiao, Eric P. Xing, Laurent El Ghaoui, Michael I. Jordan |
| 2018 | AAAI | Data Poisoning Attacks on Multi-Task Relationship Learning. | Mengchen Zhao, Bo An, Yaodong Yu, Sulin Liu, Sinno Jialin Pan |
| 2018 | ICML | A Primal-Dual Analysis of Global Optimality in Nonconvex Low-Rank Matrix Recovery. | Xiao Zhang, Lingxiao Wang, Yaodong Yu, Quanquan Gu |
| 2017 | UAI | Communication-Efficient Distributed Primal-Dual Algorithm for Saddle Point Problem. | Yaodong Yu, Sulin Liu, Sinno Jialin Pan |