Representer point selection for explaining deep neural networks CK Yeh, J Kim, IEH Yen, PK Ravikumar Advances in neural information processing systems 31, 2018 | 260 | 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 | 223 | 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 | 160 | 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 | 135 | 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 | 67 | 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 | 60 | 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 | 48 | 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 | 44 | 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 | 43 | 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 | 39 | 2019 |
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 | 38 | 2015 |
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 |
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 | 37 | 2012 |
D2ke: From distance to kernel and embedding L Wu, IEH Yen, F Xu, P Ravikumar, M Witbrock arXiv preprint arXiv:1802.04956, 2018 | 34 | 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 | 34 | 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 | 31 | 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 | 27 | 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 | 23 | 2018 |
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 |
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 | 20 | 2017 |