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Private Synthetic Data for Multitask Learning and Marginal Queries


Sep 15, 2022
Giuseppe Vietri, Cedric Archambeau, Sergul Aydore, William Brown, Michael Kearns, Aaron Roth, Ankit Siva, Shuai Tang, Zhiwei Steven Wu

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* The short version of this paper appears in the proceedings of NeurIPS-22 

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MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation


Mar 22, 2022
Linhao Luo, Yumeng Li, Buyu Gao, Shuai Tang, Sinan Wang, Jiancheng Li, Tanchao Zhu, Jiancai Liu, Zhao Li, Binqiang Zhao, Ziyang Zheng, Shirui Pan

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* This paper has been submitted to KDD 2022 ADS Track 

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Spectrally Adaptive Common Spatial Patterns


Feb 09, 2022
Mahta Mousavi, Eric Lybrand, Shuangquan Feng, Shuai Tang, Rayan Saab, Virginia de Sa

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Fast Adaptation with Linearized Neural Networks


Mar 02, 2021
Wesley J. Maddox, Shuai Tang, Pablo Garcia Moreno, Andrew Gordon Wilson, Andreas Damianou

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* AISTATS 2021 

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Deep Transfer Learning with Ridge Regression


Jun 11, 2020
Shuai Tang, Virginia R. de Sa

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Similarity of Neural Networks with Gradients


Mar 25, 2020
Shuai Tang, Wesley J. Maddox, Charlie Dickens, Tom Diethe, Andreas Damianou

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Improving Style Transfer with Calibrated Metrics


Oct 21, 2019
Mao-Chuang Yeh, Shuai Tang, Anand Bhattad, Chuhang Zou, David Forsyth

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* 14 pages, 9 figures 

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An Empirical Study on Post-processing Methods for Word Embeddings


May 28, 2019
Shuai Tang, Mahta Mousavi, Virginia R. de Sa

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Learning Distributed Representations of Symbolic Structure Using Binding and Unbinding Operations


Nov 03, 2018
Shuai Tang, Paul Smolensky, Virginia R. de Sa

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