Hyokun Yun
Hyokun Yun
Machine Learning Scientist at Amazon
Verified email at amazon.com - Homepage
TitleCited byYear
NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion
H Yun, HF Yu, CJ Hsieh, SVN Vishwanathan, I Dhillon
Proceedings of the VLDB Endowment 7 (11), 975-986, 2014
1372014
Deep active learning for named entity recognition
Y Shen, H Yun, ZC Lipton, Y Kronrod, A Anandkumar
arXiv preprint arXiv:1707.05928, 2017
672017
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
512015
Wordrank: Learning word embeddings via robust ranking
S Ji, H Yun, P Yanardag, S Matsushima, SVN Vishwanathan
arXiv preprint arXiv:1506.02761, 2015
342015
Ranking via robust binary classification
H Yun, P Raman, S Vishwanathan
Advances in Neural Information Processing Systems, 2582-2590, 2014
302014
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
252012
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
92016
Distributed stochastic optimization of the regularized risk
S Matsushima, H Yun, X Zhang, SVN Vishwanathan
arXiv preprint arXiv:1406.4363, 2014
52014
Nomadic Computing for Big Data Analytics
HF Yu, CJ Hsieh, H Yun, SVN Vishwanathan, I Dhillon
Computer 49 (4), 52-60, 2016
32016
Doubly Separable Models
H Yun
PhD thesis, Purdue University West Lafayette, 2014
32014
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
32014
Quilting stochastic kronecker product graphs to generate multiplicative attribute graphs
H Yun, SVN Vishwanathan
Artificial Intelligence and Statistics, 1389-1397, 2012
22012
Efficiently sampling multiplicative attribute graphs using a ball-dropping process
H Yun, SVN Vishwanathan
arXiv preprint arXiv:1202.6001, 2012
12012
Robustness to Capitalization Errors in Named Entity Recognition
S Bodapati, H Yun, Y Al-Onaizan
arXiv preprint arXiv:1911.05241, 2019
2019
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
2019
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
2017
Valid Prior-Free Probabilistic Inference and its Applications in Medical Statistics
DE Leaf, H Yun, C Liu
Advanced Medical Statistics, 1301-1337, 2015
2015
Doubly separable models and distributed parameter estimation
H Yun
Purdue University, 2014
2014
Using Logistic Regression to Analyze the Balance of a Game: The Case of StarCraft II
H Yun
arXiv preprint arXiv:1105.0755, 2011
2011
Scalable Modeling of Graphs Using Latent Features
H Yun, SVN Vishwanathan
Technical Report (in preparation), 0
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Articles 1–20