Das, Rudrajit

9 publications

ICML 2025 Retraining with Predicted Hard Labels Provably Increases Model Accuracy Rudrajit Das, Inderjit S Dhillon, Alessandro Epasto, Adel Javanmard, Jieming Mao, Vahab Mirrokni, Sujay Sanghavi, Peilin Zhong

NeurIPS 2025 Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing Adel Javanmard, Rudrajit Das, Alessandro Epasto, Vahab Mirrokni

ICML 2025 Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting Sunny Sanyal, Hayden Prairie, Rudrajit Das, Ali Kavis, Sujay Sanghavi

TMLR 2024 On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data Jianyu Wang, Rudrajit Das, Gauri Joshi, Satyen Kale, Zheng Xu, Tong Zhang

ICML 2024 Understanding the Training Speedup from Sampling with Approximate Losses Rudrajit Das, Xi Chen, Bertram Ieong, Parikshit Bansal, Sujay Sanghavi

ICML 2023 Beyond Uniform Lipschitz Condition in Differentially Private Optimization Rudrajit Das, Satyen Kale, Zheng Xu, Tong Zhang, Sujay Sanghavi

ICML 2023 Understanding Self-Distillation in the Presence of Label Noise Rudrajit Das, Sujay Sanghavi

NeurIPSW 2022 Differentially Private Federated Learning with Normalized Updates Rudrajit Das, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S Dhillon

UAI 2022 Faster Non-Convex Federated Learning via Global and Local Momentum Rudrajit Das, Anish Acharya, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu