Ian En-Hsu Yen
Ian En-Hsu Yen
PhD, Machine Learning Department, Carnegie Mellon University
Verifierad e-postadress på cs.cmu.edu - Startsida
TitelCiteras avÅr
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
1332010
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
812016
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
342014
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
322017
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
272016
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
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
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
192014
D2ke: From distance to kernel and embedding
L Wu, IEH Yen, F Xu, P Ravikumar, M Witbrock
arXiv preprint arXiv:1802.04956, 2018
152018
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
152015
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
152014
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
132018
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
102018
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
102017
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
82017
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
72018
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, 5626-5635, 2018
72018
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
72016
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
72016
A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery
IEH Yen, X Lin, J Zhang, P Ravikumar, IS Dhillon
International Conference on Machine Learning, 2016
72016
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Artiklar 1–20