Rudrajit Das

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Convex Relaxation

Detect Outliers

Top Venues

Publications

Rudrajit Das, Xi Chen, Bertram Ieong, Parikshit Bansal, Sujay Sanghavi
Understanding the Training Speedup from Sampling with Approximate Losses. CoRR (2024)
Rudrajit Das, Inderjit S. Dhillon, Alessandro Epasto, Adel Javanmard, Jieming Mao, Vahab Mirrokni, Sujay Sanghavi, Peilin Zhong
Retraining with Predicted Hard Labels Provably Increases Model Accuracy. CoRR (2024)
Jianyu Wang, Rudrajit Das, Gauri Joshi, Satyen Kale, Zheng Xu, Tong Zhang
On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data. Trans. Mach. Learn. Res. 2024 (2024)
Rudrajit Das, Naman Agarwal, Sujay Sanghavi, Inderjit S. Dhillon
Towards Quantifying the Preconditioning Effect of Adam. CoRR (2024)
Rudrajit Das, Sujay Sanghavi
Understanding Self-Distillation in the Presence of Label Noise. ICML (2023)
Rudrajit Das, Sujay Sanghavi
Understanding Self-Distillation in the Presence of Label Noise. CoRR (2023)
Rudrajit Das, Satyen Kale, Zheng Xu, Tong Zhang, Sujay Sanghavi
Beyond Uniform Lipschitz Condition in Differentially Private Optimization. ICML (2023)
Abolfazl Hashemi, Anish Acharya, Rudrajit Das, Haris Vikalo, Sujay Sanghavi, Inderjit S. Dhillon
On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Federated Learning. IEEE Trans. Parallel Distributed Syst. 33 (11) (2022)
Jianyu Wang, Rudrajit Das, Gauri Joshi, Satyen Kale, Zheng Xu, Tong Zhang
On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data. CoRR (2022)
Rudrajit Das, Satyen Kale, Zheng Xu, Tong Zhang, Sujay Sanghavi
Beyond Uniform Lipschitz Condition in Differentially Private Optimization. CoRR (2022)
Rudrajit Das, Anish Acharya, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu
Faster non-convex federated learning via global and local momentum. UAI (2022)
Rudrajit Das, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon
DP-NormFedAvg: Normalizing Client Updates for Privacy-Preserving Federated Learning. CoRR (2021)
Anish Acharya, Rudrajit Das
DISCO : efficient unsupervised decoding for discrete natural language problems via convex relaxation. CoRR (2021)
Rudrajit Das, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon
Improved Convergence Rates for Non-Convex Federated Learning with Compression. CoRR (2020)
Abolfazl Hashemi, Anish Acharya, Rudrajit Das, Haris Vikalo, Sujay Sanghavi, Inderjit S. Dhillon
On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization. CoRR (2020)
Rudrajit Das, Ajit Rajwade
Nonlinear Blind Compressed Sensing Under Signal-Dependent Noise. ICIP (2019)
Rudrajit Das, Subhasis Chaudhuri
On the Separability of Classes with the Cross-Entropy Loss Function. CoRR (2019)
Rudrajit Das, Aditya Golatkar, Suyash P. Awate
Sparse Kernel PCA for Outlier Detection. CoRR (2018)
Rudrajit Das, Aditya Golatkar, Suyash P. Awate
Sparse Kernel PCA for Outlier Detection. ICMLA (2018)