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The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds



T. Tony Cai , Yichen Wang , Linjun Zhang

* 43 pages, 6 figures 

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Learning unbiased zero-shot semantic segmentation networks via transductive transfer



Haiyang Liu , Yichen Wang , Jiayi Zhao , Guowu Yang , Fengmao Lv


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Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems



Jiaxuan You , Yichen Wang , Aditya Pal , Pong Eksombatchai , Chuck Rosenberg , Jure Leskovec

* Accepted by the Web Conference 2019 (WWW 2019) as a full paper 

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The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy



T. Tony Cai , Yichen Wang , Linjun Zhang

* 34 pages, 6 figures 

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Learning to Optimize via Wasserstein Deep Inverse Optimal Control



Yichen Wang , Le Song , Hongyuan Zha


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Variational Policy for Guiding Point Processes



Yichen Wang , Grady Williams , Evangelos Theodorou , Le Song

* ICML 2017 

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Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs



Rakshit Trivedi , Hanjun Dai , Yichen Wang , Le Song


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Deep Coevolutionary Network: Embedding User and Item Features for Recommendation



Hanjun Dai , Yichen Wang , Rakshit Trivedi , Le Song

* Recsys Workshop on Deep Learning for Recommendation Systems (DLRS '16) 

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Fast and Simple Optimization for Poisson Likelihood Models



Niao He , Zaid Harchaoui , Yichen Wang , Le Song


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COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution



Mehrdad Farajtabar , Yichen Wang , Manuel Gomez Rodriguez , Shuang Li , Hongyuan Zha , Le Song


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