Differentially Private Post-Processing for Fair Regression. - Ruicheng Xian; Qiaobo Li; Gautam Kamath 001; Han Zhao 002 (ICML, 2024)

Sketching for Distributed Deep Learning: A Sharper Analysis. - Mayank Shrivastava; Berivan Isik; Qiaobo Li; Sanmi Koyejo; Arindam Banerjee 001 (NeurIPS, 2024)

Sketched Adaptive Federated Deep Learning: A Sharp Convergence Analysis. - Zhijie Chen; Qiaobo Li; Arindam Banerjee 001 (CoRR, 2024)

Loss Gradient Gaussian Width based Generalization and Optimization Guarantees. - Arindam Banerjee 001; 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 006; Quanquan Gu (AISTATS, 2025)