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Minimizing FLOPs to Learn Efficient Sparse Representations


Apr 12, 2020
Biswajit Paria, Chih-Kuan Yeh, Ian E. H. Yen, Ning Xu, Pradeep Ravikumar, Barnabás Póczos

* Published at ICLR 2020 

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Representer Point Selection for Explaining Deep Neural Networks


Nov 23, 2018
Chih-Kuan Yeh, Joon Sik Kim, Ian E. H. Yen, Pradeep Ravikumar

* NIPS 2018 

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Word Mover's Embedding: From Word2Vec to Document Embedding


Oct 30, 2018
Lingfei Wu, Ian E. H. Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock

* EMNLP'18 Camera-Ready Version 

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Learning Tensor Latent Features


Oct 10, 2018
Sung-En Chang, Xun Zheng, Ian E. H. Yen, Pradeep Ravikumar, Rose Yu

* 10 pages, 3 figures 

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Revisiting Random Binning Features: Fast Convergence and Strong Parallelizability


Sep 19, 2018
Lingfei Wu, Ian E. H. Yen, Jie Chen, Rui Yan

* KDD16, Oral Paper, Add Code Link for generating Random Binning Features 

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Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators


Jan 23, 2015
Kai Zhong, Ian E. H. Yen, Inderjit S. Dhillon, Pradeep Ravikumar


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