Ian En-Hsu Yen

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Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonDirección de correo verificada de cs.utexas.edu
Kai ZhongApplied Scientist, AmazonDirección de correo verificada de amazon.com
Xiangru HuangUniversity of Texas at AustinDirección de correo verificada de cs.utexas.edu
Shou-De LinNational Taiwan UniversityDirección de correo verificada de csie.ntu.edu.tw
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UDirección de correo verificada de cs.cmu.edu
Wei DaiApple; Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Qi LeiAssistant Professor of Mathematics and Data Science, New York UniversityDirección de correo verificada de nyu.edu
Cho-Jui HsiehUniversity of California, Los AngelesDirección de correo verificada de cs.ucla.edu
Rui Yan (严睿)Renmin University of China. Previously with Peking U. and UPennDirección de correo verificada de seas.upenn.edu
Po-Wei WangCarnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Nanyun (Violet) PengAssociate Professor, UCLADirección de correo verificada de cs.ucla.edu
Jie ChenMIT-IBM Watson AI Lab, IBM ResearchDirección de correo verificada de us.ibm.com
Michael RosenblumProfessor of Biostatistics, Johns Hopkins UniversityDirección de correo verificada de jhsph.edu
Han LiuOrrington Lunt Professor of Computer Science, Statistics and Data Science, Northwestern UniversityDirección de correo verificada de northwestern.edu
Dmitry MalioutovResearch Staff Member, T.J. Watson IBM Research centerDirección de correo verificada de us.ibm.com
Abhishek KumarGoogle BrainDirección de correo verificada de google.com
Chao-Yuan WuWorld LabsDirección de correo verificada de meta.com
Hsun-Ping HsiehNational Cheng Kung UniversityDirección de correo verificada de mail.ncku.edu.tw
Qixing HuangAssociate Professor of Computer Science, UT AustinDirección de correo verificada de cs.utexas.edu

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Ian En-Hsu Yen

PhD, Machine Learning Department, Carnegie Mellon University

Dirección de correo verificada de cs.cmu.edu - Página principal

Machine Learning Optimization Artificial Intelligence


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Representer point selection for explaining deep neural networks CK Yeh, J Kim, IEH Yen, PK Ravikumar Advances in neural information processing systems 31, 2018	292	2018
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	231	2016
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	167	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	145	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	71	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	62	2018
Minimizing flops to learn efficient sparse representations B Paria, CK Yeh, IEH Yen, N Xu, P Ravikumar, B Póczos arXiv preprint arXiv:2004.05665, 2020	61	2020
Rethinking Network Pruning--under the Pre-train and Fine-tune Paradigm D Xu, IEH Yen, J Zhao, Z Xiao arXiv preprint arXiv:2104.08682, 2021	58	2021
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	47	2018
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	41	2019
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	41	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	40	2015
D2ke: From distance to kernel and embedding L Wu, IEH Yen, F Xu, P Ravikumar, M Witbrock arXiv preprint arXiv:1802.04956, 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	37	2016
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	35	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	35	2014
Sparse progressive distillation: Resolving overfitting under pretrain-and-finetune paradigm S Huang, D Xu, IEH Yen, Y Wang, SE Chang, B Li, S Chen, M Xie, ... arXiv preprint arXiv:2110.08190, 2021	31	2021
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	26	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	22	2017
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	22	2014

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