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WAFFLe: Weight Anonymized Factorization for Federated Learning

Aug 13, 2020
Weituo Hao, Nikhil Mehta, Kevin J Liang, Pengyu Cheng, Mostafa El-Khamy, Lawrence Carin


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CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information

Jul 14, 2020
Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, Lawrence Carin

* Accepted by the 37th International Conference on Machine Learing (ICML2020) 

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Improving Disentangled Text Representation Learning with Information-Theoretic Guidance

Jun 06, 2020
Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin

* Accepted by the 58th Annual Meeting of the Association for Computational Linguistics (ACL2020) 

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Gaussian-Process-Based Dynamic Embedding for Textual Networks

Oct 10, 2019
Pengyu Cheng, Yitong Li, Xinyuan Zhang, Liqun Cheng, David Carlson, Lawrence Carin

* Accepted as NeurIPS 2019 Graph Representation Learning Workshop 

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Straight-Through Estimator as Projected Wasserstein Gradient Flow

Oct 05, 2019
Pengyu Cheng, Chang Liu, Chunyuan Li, Dinghan Shen, Ricardo Henao, Lawrence Carin

* Accepted as NeurIPS 2018 Bayesian Deep Learning Workshop 

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Learning Compressed Sentence Representations for On-Device Text Processing

Jun 19, 2019
Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin

* To appear at ACL 2019 

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Improving Textual Network Embedding with Global Attention via Optimal Transport

Jun 05, 2019
Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin


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Accelerated First-order Methods on the Wasserstein Space for Bayesian Inference

Jul 04, 2018
Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu, Lawrence Carin


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