Rudrajit Das

According to our database, Rudrajit Das authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data.

Jianyu Wang, Rudrajit Das, Gauri Joshi, Satyen Kale, Zheng Xu, Tong Zhang

Trans. Mach. Learn. Res., 2024

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

CoRR, 2024

Towards Quantifying the Preconditioning Effect of Adam.

Rudrajit Das, Naman Agarwal, Sujay Sanghavi, Inderjit S. Dhillon

CoRR, 2024

Understanding the Training Speedup from Sampling with Approximate Losses.

Rudrajit Das, Xi Chen, Bertram Ieong, Parikshit Bansal, Sujay Sanghavi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Understanding Self-Distillation in the Presence of Label Noise.

Rudrajit Das, Sujay Sanghavi

Proceedings of the International Conference on Machine Learning, 2023

Beyond Uniform Lipschitz Condition in Differentially Private Optimization.

Rudrajit Das, Satyen Kale, Zheng Xu, Tong Zhang, Sujay Sanghavi

Proceedings of the International Conference on Machine Learning, 2023

2022

On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Federated Learning.

Abolfazl Hashemi, Anish Acharya, Rudrajit Das, Haris Vikalo, Sujay Sanghavi, Inderjit S. Dhillon

IEEE Trans. Parallel Distributed Syst., 2022

Faster non-convex federated learning via global and local momentum.

Rudrajit Das, Anish Acharya, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

DISCO : efficient unsupervised decoding for discrete natural language problems via convex relaxation.

Anish Acharya, Rudrajit Das

CoRR, 2021

DP-NormFedAvg: Normalizing Client Updates for Privacy-Preserving Federated Learning.

Rudrajit Das, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon

CoRR, 2021

2020

Improved Convergence Rates for Non-Convex Federated Learning with Compression.

Rudrajit Das, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon

CoRR, 2020

On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization.

Abolfazl Hashemi, Anish Acharya, Rudrajit Das, Haris Vikalo, Sujay Sanghavi, Inderjit S. Dhillon

CoRR, 2020

2019

On the Separability of Classes with the Cross-Entropy Loss Function.

Rudrajit Das, Subhasis Chaudhuri

CoRR, 2019

Nonlinear Blind Compressed Sensing Under Signal-Dependent Noise.

Rudrajit Das, Ajit Rajwade

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Sparse Kernel PCA for Outlier Detection.

Rudrajit Das, Aditya Golatkar, Suyash P. Awate

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018