Ian En-Hsu Yen

Cited by

	All	Since 2017
Citations	984	900
h-index	16	15
i10-index	20	19

260

130

195

20142015201620172018201920202021202210 23 41 75 128 206 179 243 67

Public access

View all

13 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Pradeep RavikumarAssociate Professor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Inderjit S. DhillonVice President/Distinguished Scientist at Amazon, and Professor, Computer Science, UT AustinVerified email at cs.utexas.edu
Lingfei Wu (吴凌飞)Principal Scientist at JD.COM Silicon Valley Research CenterVerified email at email.wm.edu
Kai ZhongApplied Scientist, AmazonVerified email at amazon.com
Shou-De LinProfessor of Computer Science Department, National Taiwan UniversityVerified email at csie.ntu.edu.tw
Xiangru HuangUniversity of Texas at AustinVerified email at cs.utexas.edu
Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.edu
Qi LeiAssociate Research Scholar at ECE Department, Princeton UniversityVerified email at princeton.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Wei DaiApple; Carnegie Mellon UniversityVerified email at cs.cmu.edu
Rui Yan (严睿)Renmin University of China. Previously with Peking U. and UPennVerified email at seas.upenn.edu
Jie ChenMIT-IBM Watson AI Lab, IBM ResearchVerified email at us.ibm.com
Po-Wei WangCarnegie Mellon UniversityVerified email at cs.cmu.edu
Nanyun (Violet) PengAssistant Professor, UCLAVerified email at cs.ucla.edu
Dmitry MalioutovResearch Staff Member, T.J. Watson IBM Research centerVerified email at us.ibm.com
Abhishek KumarGoogle BrainVerified email at google.com
Michael RosenblumProfessor of Biostatistics, Johns Hopkins UniversityVerified email at jhsph.edu
Han LiuAssociate Professor, Department of Computer Science, Northwestern UniversityVerified email at princeton.edu
Chao-Yuan WuResearch Scientist, Facebook AI Research (FAIR)Verified email at cs.utexas.edu
Qixing HuangAssistant Professor of Computer Science, UT AustinVerified email at cs.utexas.edu

Ian En-Hsu Yen

PhD, Machine Learning Department, Carnegie Mellon University

Verified email at cs.cmu.edu - Homepage

Machine Learning Optimization Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	171	2016
Representer point selection for explaining deep neural networks CK Yeh, J Kim, IEH Yen, PK Ravikumar Advances in neural information processing systems 31, 2018	131	2018
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	103	2017
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	93	2018
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	58	2014
Random warping series: A random features method for time-series embedding L Wu, IEH Yen, J Yi, F Xu, Q Lei, M Witbrock International Conference on Artificial Intelligence and Statistics, 793-802, 2018	37	2018
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	34	2016
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	33	2012
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 28, 2015	32	2015
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	27	2018
D2ke: From distance to kernel and embedding L Wu, IEH Yen, F Xu, P Ravikumar, M Witbrock arXiv preprint arXiv:1802.04956, 2018	26	2018
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	26	2014
Proximal quasi-newton for computationally intensive l1-regularized m-estimators K Zhong, IEH Yen, IS Dhillon, PK Ravikumar Advances in Neural Information Processing Systems 27, 2014	22	2014
Scalable global alignment graph kernel using random features: From node embedding to graph embedding L Wu, IEH Yen, Z Zhang, K Xu, L Zhao, X Peng, Y Xia, C Aggarwal Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019	21	2019
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	21	2014
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	18	2018
Doubly greedy primal-dual coordinate descent for sparse empirical risk minimization Q Lei, IEH Yen, C Wu, IS Dhillon, P Ravikumar International Conference on Machine Learning, 2034-2042, 2017	15	2017
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	11	2016
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	10	2016
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 29, 2016	10	2016

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow this author

Cited by

Co-authors