Follow
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
3812017
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
1812013
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
802015
Wordrank: Learning word embeddings via robust ranking
S Ji, H Yun, P Yanardag, S Matsushima, SVN Vishwanathan
arXiv preprint arXiv:1506.02761, 2015
552015
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
332012
Ranking via robust binary classification
H Yun, P Raman, S Vishwanathan
Advances in Neural Information Processing Systems 27, 2014
302014
Robustness to capitalization errors in named entity recognition
S Bodapati, H Yun, Y Al-Onaizan
arXiv preprint arXiv:1911.05241, 2019
162019
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
122016
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
72019
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
52017
Nomadic Computing for Big Data Analytics
HF Yu, CJ Hsieh, H Yun, SVN Vishwanathan, I Dhillon
Computer 49 (4), 52-60, 2016
52016
Distributed stochastic optimization of the regularized risk
S Matsushima, H Yun, X Zhang, SVN Vishwanathan
arXiv preprint arXiv:1406.4363, 2014
52014
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
Doubly Separable Models
H Yun
PhD thesis, Purdue University West Lafayette, 2014
42014
Neural models for keyphrase extraction
ZP Kozareva, S Zha, H Yun
US Patent 11,030,394, 2021
32021
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
arXiv preprint arXiv:2112.12545, 2021
32021
Big Data
D Zhang, Y Lin, Z Song, I Dhillon, H Yu, C Hsieh, Q Lei, I Yen, C Wu, ...
IEEE Computer (IEEE Computer) 49 (4), 52-60, 2016
32016
Quilting stochastic kronecker product graphs to generate multiplicative attribute graphs
H Yun, SVN Vishwanathan
Artificial Intelligence and Statistics, 1389-1397, 2012
32012
Tiering as a Stochastic Submodular Optimization Problem
H Yun, M Froh, R Makhijani, B Luc, A Smola, T Chilimbi
arXiv preprint arXiv:2005.07893, 2020
12020
Distributed stochastic optimization of regularized risk via saddle-point problem
S Matsushima, H Yun, X Zhang, SVN Vishwanathan
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
12017
The system can't perform the operation now. Try again later.
Articles 1–20