| Large-scale multi-label learning with missing labels HF Yu, P Jain, P Kar, I Dhillon International conference on machine learning, 593-601, 2014 | 385 | 2014 |
| Dual coordinate descent methods for logistic regression and maximum entropy models HF Yu, FL Huang, CJ Lin Machine Learning 85 (1-2), 41-75, 2011 | 302 | 2011 |
| Scalable coordinate descent approaches to parallel matrix factorization for recommender systems HF Yu, CJ Hsieh, S Si, I Dhillon 2012 IEEE 12th International Conference on Data Mining, 765-774, 2012 | 298 | 2012 |
| Large linear classification when data cannot fit in memory HF Yu, CJ Hsieh, KW Chang, CJ Lin ACM Transactions on Knowledge Discovery from Data (TKDD) 5 (4), 1-23, 2012 | 190 | 2012 |
| Collaborative Filtering with Graph Information: Consistency and Scalable Methods. N Rao, HF Yu, P Ravikumar, IS Dhillon NIPS 2 (4), 7, 2015 | 185 | 2015 |
| Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction. HF Yu, N Rao, IS Dhillon NIPS, 847-855, 2016 | 181* | 2016 |
| Feature engineering and classifier ensemble for KDD cup 2010 HF Yu, HY Lo, HP Hsieh, JK Lou, TG McKenzie, JW Chou, PH Chung, ... KDD cup 11, 2010 | 170 | 2010 |
| 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 | 165 | 2013 |
| Parallel matrix factorization for recommender systems HF Yu, CJ Hsieh, S Si, IS Dhillon Knowledge and Information Systems 41 (3), 793-819, 2014 | 139 | 2014 |
| Passcode: Parallel asynchronous stochastic dual co-ordinate descent CJ Hsieh, HF Yu, I Dhillon International Conference on Machine Learning, 2370-2379, 2015 | 101 | 2015 |
| 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 | 71 | 2015 |
| Libshorttext: A library for short-text classification and analysis H Yu, C Ho, Y Juan, C Lin Rapport interne, Department of Computer Science, National Taiwan University …, 2013 | 67 | 2013 |
| Think globally, act locally: A deep neural network approach to high-dimensional time series forecasting R Sen, HF Yu, I Dhillon arXiv preprint arXiv:1905.03806, 2019 | 42 | 2019 |
| Asynchronous parallel greedy coordinate descent Y You, X Lian, J Liu, HF Yu, IS Dhillon, J Demmel, CJ Hsieh Advances in Neural Information Processing Systems, 4682-4690, 2016 | 40 | 2016 |
| Product title classification versus text classification HF Yu, CH Ho, P Arunachalam, M Somaiya, CJ Lin Csie. Ntu. Edu. Tw, 1-25, 2012 | 31 | 2012 |
| Selection of negative samples for one-class matrix factorization HF Yu, M Bilenko, CJ Lin Proceedings of the 2017 SIAM International Conference on Data Mining, 363-371, 2017 | 26 | 2017 |
| A greedy approach for budgeted maximum inner product search HF Yu, CJ Hsieh, Q Lei, IS Dhillon arXiv preprint arXiv:1610.03317, 2016 | 21 | 2016 |
| Large-scale multi-label learning with missing labels HF Yu, P Jain, P Kar, IS Dhillon arXiv preprint arXiv:1307.5101, 2013 | 21 | 2013 |
| An ensemble of three classifiers for kdd cup 2009: Expanded linear model, heterogeneous boosting, and selective naive bayes HY Lo, KW Chang, ST Chen, TH Chiang, CS Ferng, CJ Hsieh, YK Ko, ... KDD-Cup 2009 Competition, 57-64, 2009 | 17 | 2009 |
| Learningword embeddings for low-resource languages by pu learning C Jiang, HF Yu, CJ Hsieh, KW Chang arXiv preprint arXiv:1805.03366, 2018 | 16 | 2018 |
Inderjit S. DhillonVice President/Distinguished Scientist at Amazon, and Professor, Computer Science, UT AustinVerified email at cs.utexas.edu
