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Jae Ro
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2020 – today
- 2024
- [i10]Jae Hun Ro, Srinadh Bhojanapalli, Zheng Xu, Yanxiang Zhang, Ananda Theertha Suresh:
Efficient Language Model Architectures for Differentially Private Federated Learning. CoRR abs/2403.08100 (2024) - [i9]Ziteng Sun, Jae Hun Ro, Ahmad Beirami, Ananda Theertha Suresh:
Optimal Block-Level Draft Verification for Accelerating Speculative Decoding. CoRR abs/2403.10444 (2024) - 2023
- [c5]Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix X. Yu:
SpecTr: Fast Speculative Decoding via Optimal Transport. NeurIPS 2023 - [i8]Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix X. Yu:
SpecTr: Fast Speculative Decoding via Optimal Transport. CoRR abs/2310.15141 (2023) - 2022
- [c4]Ananda Theertha Suresh, Ziteng Sun, Jae Ro, Felix X. Yu:
Correlated Quantization for Distributed Mean Estimation and Optimization. ICML 2022: 20856-20876 - [i7]Jae Hun Ro, Felix Stahlberg, Ke Wu, Shankar Kumar:
Transformer-based Models of Text Normalization for Speech Applications. CoRR abs/2202.00153 (2022) - [i6]Ananda Theertha Suresh, Ziteng Sun, Jae Hun Ro, Felix X. Yu:
Correlated quantization for distributed mean estimation and optimization. CoRR abs/2203.04925 (2022) - [i5]Jae Hun Ro, Theresa Breiner, Lara McConnaughey, Mingqing Chen, Ananda Theertha Suresh, Shankar Kumar, Rajiv Mathews:
Scaling Language Model Size in Cross-Device Federated Learning. CoRR abs/2204.09715 (2022) - 2021
- [c3]Yishay Mansour, Mehryar Mohri, Jae Ro, Ananda Theertha Suresh, Ke Wu:
A Theory of Multiple-Source Adaptation with Limited Target Labeled Data. AISTATS 2021: 2332-2340 - [c2]Jae Ro, Mingqing Chen, Rajiv Mathews, Mehryar Mohri, Ananda Theertha Suresh:
Communication-Efficient Agnostic Federated Averaging. Interspeech 2021: 871-875 - [i4]Jae Ro, Mingqing Chen, Rajiv Mathews, Mehryar Mohri, Ananda Theertha Suresh:
Communication-Efficient Agnostic Federated Averaging. CoRR abs/2104.02748 (2021) - [i3]Jae Hun Ro, Ananda Theertha Suresh, Ke Wu:
FedJAX: Federated learning simulation with JAX. CoRR abs/2108.02117 (2021) - 2020
- [c1]Hao Zhang, Jae Ro, Richard Sproat:
Semi-supervised URL Segmentation with Recurrent Neural Networks Pre-trained on Knowledge Graph Entities. COLING 2020: 4667-4675 - [i2]Yishay Mansour, Mehryar Mohri, Jae Ro, Ananda Theertha Suresh:
Three Approaches for Personalization with Applications to Federated Learning. CoRR abs/2002.10619 (2020) - [i1]Hao Zhang, Jae Ro, Richard Sproat:
Semi-supervised URL Segmentation with Recurrent Neural NetworksPre-trained on Knowledge Graph Entities. CoRR abs/2011.03138 (2020)
Coauthor Index
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