Li, Qiaobo

6 publications

AISTATS 2025 Loss Gradient Gaussian Width Based Generalization and Optimization Guarantees Arindam Banerjee, Qiaobo Li, Yingxue Zhou

AISTATS 2025 On the Power of Multitask Representation Learning with Gradient Descent Qiaobo Li, Zixiang Chen, Yihe Deng, Yiwen Kou, Yuan Cao, Quanquan Gu

NeurIPS 2025 Sketched Adaptive Distributed Deep Learning: A Sharp Convergence Analysis Zhijie Chen, Qiaobo Li, Arindam Banerjee

NeurIPS 2025 Sketched Gaussian Mechanism for Private Federated Learning Qiaobo Li, Zhijie Chen, Arindam Banerjee

ICML 2024 Differentially Private Post-Processing for Fair Regression Ruicheng Xian, Qiaobo Li, Gautam Kamath, Han Zhao

NeurIPS 2024 Sketching for Distributed Deep Learning: A Sharper Analysis Mayank Shrivastava, Berivan Isik, Qiaobo Li, Sanmi Koyejo, Arindam Banerjee