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Hyokun Yun
Hyokun Yun
Machine Learning Scientist at Amazon
Verified email at amazon.com - Homepage
Title
Cited by
Cited by
Year
Deep active learning for named entity recognition
Y Shen, H Yun, ZC Lipton, Y Kronrod, A Anandkumar
arXiv preprint arXiv:1707.05928, 2017
5742017
Nomad: Non-locking, stochastic multi-machine algorithm for asynchronous and decentralized matrix completion
H Yun, HF Yu, CJ Hsieh, SVN Vishwanathan, I Dhillon
arXiv preprint arXiv:1312.0193, 2013
2062013
A scalable asynchronous distributed algorithm for topic modeling
HF Yu, CJ Hsieh, H Yun, SVN Vishwanathan, IS Dhillon
Proceedings of the 24th International Conference on World Wide Web, 1340-1350, 2015
852015
A deep reinforcement learning approach for solving the traveling salesman problem with drone
A Bogyrbayeva, T Yoon, H Ko, S Lim, H Yun, C Kwon
Transportation Research Part C: Emerging Technologies 148, 103981, 2023
672023
Wordrank: Learning word embeddings via robust ranking
S Ji, H Yun, P Yanardag, S Matsushima, SVN Vishwanathan
arXiv preprint arXiv:1506.02761, 2015
642015
How to filter out random clickers in a crowdsourcing-based study?
SH Kim, H Yun, JS Yi
Proceedings of the 2012 beliv workshop: Beyond time and errors-novel …, 2012
392012
Ranking via robust binary classification
H Yun, P Raman, S Vishwanathan
Advances in Neural Information Processing Systems 27, 2014
342014
Robustness to capitalization errors in named entity recognition
S Bodapati, H Yun, Y Al-Onaizan
arXiv preprint arXiv:1911.05241, 2019
272019
DS-MLR: exploiting double separability for scaling up distributed multinomial logistic regression
P Raman, S Srinivasan, S Matsushima, X Zhang, H Yun, ...
arXiv preprint arXiv:1604.04706, 2016
132016
Scaling multinomial logistic regression via hybrid parallelism
P Raman, S Srinivasan, S Matsushima, X Zhang, H Yun, ...
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
102019
Neural models for keyphrase extraction
ZP Kozareva, S Zha, H Yun
US Patent 11,030,394, 2021
82021
Distributed stochastic optimization of regularized risk via saddle-point problem
S Matsushima, H Yun, X Zhang, SVN Vishwanathan
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017
82017
Nomadic computing for big data analytics
HF Yu, CJ Hsieh, H Yun, SVN Vishwanathan, I Dhillon
Computer 49 (4), 52-60, 2016
72016
Big Data
D Zhang, MHJ Sidik
Artificial Intelligence, and Financial Literacy: Exploring their Combined …, 2024
62024
Deep active learning for named entity recognition. CoRR abs/1707.05928 (2017)
Y Shen, H Yun, ZC Lipton, Y Kronrod, A Anandkumar
arXiv preprint arXiv:1707.05928, 2017
62017
Ranking via robust binary classification and parallel parameter estimation in large-scale data
H Yun, P Raman, SVN Vishwanathan
arXiv preprint arXiv:1402.2676, 2014
52014
Exposing privacy gaps: Membership inference attack on preference data for llm alignment
Q Feng, SR Kasa, H Yun, CH Teo, SB Bodapati
arXiv preprint arXiv:2407.06443, 2024
42024
Robust multi-task learning with excess risks
Y He, S Zhou, G Zhang, H Yun, Y Xu, B Zeng, T Chilimbi, H Zhao
arXiv preprint arXiv:2402.02009, 2024
42024
Doubly Separable Models
H Yun
PhD thesis, Purdue University West Lafayette, 2014
42014
Quilting stochastic kronecker product graphs to generate multiplicative attribute graphs
H Yun, SVN Vishwanathan
Artificial Intelligence and Statistics, 1389-1397, 2012
42012
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