Hyokun Yun
Hyokun Yun
Machine Learning Scientist at Amazon
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Deep active learning for named entity recognition
Y Shen, H Yun, ZC Lipton, Y Kronrod, A Anandkumar
arXiv preprint arXiv:1707.05928, 2017
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
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
Wordrank: Learning word embeddings via robust ranking
S Ji, H Yun, P Yanardag, S Matsushima, SVN Vishwanathan
arXiv preprint arXiv:1506.02761, 2015
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
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
Ranking via robust binary classification
H Yun, P Raman, S Vishwanathan
Advances in Neural Information Processing Systems 27, 2014
Robustness to capitalization errors in named entity recognition
S Bodapati, H Yun, Y Al-Onaizan
arXiv preprint arXiv:1911.05241, 2019
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
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
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
Neural models for keyphrase extraction
ZP Kozareva, S Zha, H Yun
US Patent 11,030,394, 2021
Nomadic computing for big data analytics
HF Yu, CJ Hsieh, H Yun, SVN Vishwanathan, I Dhillon
Computer 49 (4), 52-60, 2016
Big Data
M Zhang, Y Lin, Z Song, I Dhillon, H Yu, C Hsieh, Q Lei, I Yen, C Wu, ...
Machine Learning at American Airlines Tech. Ops. Proceedings of Agifors …, 2018
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
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
Doubly Separable Models
H Yun
PhD thesis, Purdue University West Lafayette, 2014
Quilting stochastic kronecker product graphs to generate multiplicative attribute graphs
H Yun, SVN Vishwanathan
Artificial Intelligence and Statistics, 1389-1397, 2012
Neural models for named-entity recognition
H Yun, Y Al-Onaizan
US Patent 11,295,083, 2022
Using Logistic Regression to Analyze the Balance of a Game: The Case of StarCraft II
H Yun
arXiv preprint arXiv:1105.0755, 2011
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