| Deep active learning for named entity recognition Y Shen, H Yun, ZC Lipton, Y Kronrod, A Anandkumar arXiv preprint arXiv:1707.05928, 2017 | 185 | 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 | 162 | 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 | 69 | 2015 |
| Wordrank: Learning word embeddings via robust ranking S Ji, H Yun, P Yanardag, S Matsushima, SVN Vishwanathan arXiv preprint arXiv:1506.02761, 2015 | 47 | 2015 |
| Ranking via robust binary classification H Yun, P Raman, S Vishwanathan Advances in Neural Information Processing Systems 27, 2582-2590, 2014 | 31 | 2014 |
| 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 | 27 | 2012 |
| 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 | 11 | 2016 |
| Robustness to Capitalization Errors in Named Entity Recognition S Bodapati, H Yun, Y Al-Onaizan arXiv preprint arXiv:1911.05241, 2019 | 5 | 2019 |
| 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 | 5 | 2017 |
| Distributed stochastic optimization of the regularized risk S Matsushima, H Yun, X Zhang, SVN Vishwanathan arXiv preprint arXiv:1406.4363, 2014 | 5 | 2014 |
| 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 | 4 | 2019 |
| Nomadic Computing for Big Data Analytics HF Yu, CJ Hsieh, H Yun, SVN Vishwanathan, I Dhillon Computer 49 (4), 52-60, 2016 | 4 | 2016 |
| Doubly Separable Models H Yun PhD thesis, Purdue University West Lafayette, 2014 | 4 | 2014 |
| 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 | 4 | 2014 |
| Quilting stochastic kronecker product graphs to generate multiplicative attribute graphs H Yun, SVN Vishwanathan Artificial Intelligence and Statistics, 1389-1397, 2012 | 2 | 2012 |
| 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 | 1 | 2017 |
| Efficiently sampling multiplicative attribute graphs using a ball-dropping process H Yun, SVN Vishwanathan arXiv preprint arXiv:1202.6001, 2012 | 1 | 2012 |
| 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 | | 2020 |
| Big Data J 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 | | 2016 |
| Valid Prior-Free Probabilistic Inference and its Applications in Medical Statistics DE Leaf, H Yun, C Liu Advanced Medical Statistics, 1301-1337, 2015 | | 2015 |
S V N VishwanathanAssociate Professor of Statistics and Computer Science, Purdue UniversityVahvistettu sähköpostiosoite verkkotunnuksessa stat.purdue.edu
