Jae Ro

According to our database, Jae Ro authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

2024

Optimal Block-Level Draft Verification for Accelerating Speculative Decoding.

Ziteng Sun, Jae Hun Ro, Ahmad Beirami, Ananda Theertha Suresh

CoRR, 2024

Efficient Language Model Architectures for Differentially Private Federated Learning.

Jae Hun Ro, Srinadh Bhojanapalli, Zheng Xu, Yanxiang Zhang, Ananda Theertha Suresh

CoRR, 2024

2023

SpecTr: Fast Speculative Decoding via Optimal Transport.

Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix X. Yu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Scaling Language Model Size in Cross-Device Federated Learning.

Jae Hun Ro, Theresa Breiner, Lara McConnaughey, Mingqing Chen, Ananda Theertha Suresh, Shankar Kumar, Rajiv Mathews

CoRR, 2022

Transformer-based Models of Text Normalization for Speech Applications.

Jae Hun Ro, Felix Stahlberg, Ke Wu, Shankar Kumar

CoRR, 2022

Correlated Quantization for Distributed Mean Estimation and Optimization.

Ananda Theertha Suresh, Ziteng Sun, Jae Ro, Felix X. Yu

Proceedings of the International Conference on Machine Learning, 2022

2021

FedJAX: Federated learning simulation with JAX.

Jae Hun Ro, Ananda Theertha Suresh, Ke Wu

CoRR, 2021

Communication-Efficient Agnostic Federated Averaging.

Jae Ro, Mingqing Chen, Rajiv Mathews, Mehryar Mohri, Ananda Theertha Suresh

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

A Theory of Multiple-Source Adaptation with Limited Target Labeled Data.

Yishay Mansour, Mehryar Mohri, Jae Ro, Ananda Theertha Suresh, Ke Wu

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Semi-supervised URL Segmentation with Recurrent Neural NetworksPre-trained on Knowledge Graph Entities.

Hao Zhang, Jae Ro, Richard Sproat

CoRR, 2020

Three Approaches for Personalization with Applications to Federated Learning.

Yishay Mansour, Mehryar Mohri, Jae Ro, Ananda Theertha Suresh

CoRR, 2020

Semi-supervised URL Segmentation with Recurrent Neural Networks Pre-trained on Knowledge Graph Entities.

Hao Zhang, Jae Ro, Richard Sproat

Proceedings of the 28th International Conference on Computational Linguistics, 2020