Ian En-Hsu Yen
Ian En-Hsu Yen
PhD, Machine Learning Department, Carnegie Mellon University
Verifierad e-postadress på cs.cmu.edu - Startsida
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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, 2010
1462010
PD-Sparse: A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification
IEH Yen, X Huang, K Zhong, P Ravikumar, IS Dhillon
International Conference on Machine Learning, 2016
1092016
Ppdsparse: A parallel primal-dual sparse method for extreme classification
IEH Yen, X Huang, W Dai, P Ravikumar, I Dhillon, E Xing
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
472017
Sparse Random Features Algorithm as Coordinate Descent in Hilbert Space
IEH Yen, TW Lin, SD Lin, P Ravikumar, IS Dhillon
Advances in Neural Information Processing Systems (NIPS), 2014
382014
Revisiting Random Binning Feature: Fast Convergence and Strong Parallelizability
L Wu, IEH Yen, J Chen, R Yan
ACM SIGKDD international conference on Knowledge discovery and data mining., 2016
292016
Word mover's embedding: From word2vec to document embedding
L Wu, IEH Yen, K Xu, F Xu, A Balakrishnan, PY Chen, P Ravikumar, ...
arXiv preprint arXiv:1811.01713, 2018
272018
On convergence rate of concave-convex procedure
IEH Yen, N Peng, PW Wang, SD Lin
Proceedings of the NIPS 2012 Optimization Workshop, 31-35, 2012
252012
Optimal tests of treatment effects for the overall population and two subpopulations in randomized trials, using sparse linear programming
M Rosenblum, H Liu, EH Yen
Journal of the American Statistical Association 109 (507), 1216-1228, 2014
222014
Representer point selection for explaining deep neural networks
CK Yeh, J Kim, IEH Yen, PK Ravikumar
Advances in Neural Information Processing Systems, 9291-9301, 2018
212018
Sparse linear programming via primal and dual augmented coordinate descent
IEH Yen, K Zhong, CJ Hsieh, PK Ravikumar, IS Dhillon
Advances in Neural Information Processing Systems, 2368-2376, 2015
212015
Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings
IEH Yen, CJ Hsieh, P Ravikumar, I Dhillon
Advances in Neural Information Processing Systems, 2014
202014
D2ke: From distance to kernel and embedding
L Wu, IEH Yen, F Xu, P Ravikumar, M Witbrock
arXiv preprint arXiv:1802.04956, 2018
192018
Proximal quasi-Newton for computationally intensive l1-regularized m-estimators
K Zhong, IEH Yen, IS Dhillon, PK Ravikumar
Advances in Neural Information Processing Systems, 2375-2383, 2014
162014
Random warping series: A random features method for time-series embedding
L Wu, IEH Yen, J Yi, F Xu, Q Lei, M Witbrock
arXiv preprint arXiv:1809.05259, 2018
152018
Scalable spectral clustering using random binning features
L Wu, PY Chen, IEH Yen, F Xu, Y Xia, C Aggarwal
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
122018
Loss decomposition for fast learning in large output spaces
IEH Yen, S Kale, F Yu, D Holtmann-Rice, S Kumar, P Ravikumar
International Conference on Machine Learning, 5640-5649, 2018
122018
Doubly greedy primal-dual coordinate descent for sparse empirical risk minimization
Q Lei, IEH Yen, C Wu, IS Dhillon, P Ravikumar
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
112017
Latent feature lasso
IEH Yen, WC Lee, SE Chang, AS Suggala, SD Lin, P Ravikumar
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
92017
Scalable exemplar clustering and facility location via augmented block coordinate descent with column generation
IEH Yen, D Malioutov, A Kumar
Artificial Intelligence and Statistics, 1260-1269, 2016
82016
Dual decomposed learning with factorwise oracle for structural svm of large output domain
IEH Yen, X Huang, K Zhong, R Zhang, PK Ravikumar, IS Dhillon
Advances in neural information processing systems, 5030-5038, 2016
82016
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Artiklar 1–20