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Hierarchical Optimal Transport for Robust Multi-View Learning

Jun 08, 2020
Dixin Luo, Hongteng Xu, Lawrence Carin


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Learning Autoencoders with Relational Regularization

Feb 27, 2020
Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, Lawrence Carin


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Fused Gromov-Wasserstein Alignment for Hawkes Processes

Oct 04, 2019
Dixin Luo, Hongteng Xu, Lawrence Carin

* The workshop on learning with temporal point processes in NeurIPS 2019 (WTPP19) 

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Adversarial Self-Paced Learning for Mixture Models of Hawkes Processes

Jun 20, 2019
Dixin Luo, Hongteng Xu, Lawrence Carin


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Interpretable ICD Code Embeddings with Self- and Mutual-Attention Mechanisms

Jun 13, 2019
Dixin Luo, Hongteng Xu, Lawrence Carin


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Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching

May 22, 2019
Hongteng Xu, Dixin Luo, Lawrence Carin


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Gromov-Wasserstein Learning for Graph Matching and Node Embedding

Jan 17, 2019
Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin


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Benefits from Superposed Hawkes Processes

Feb 14, 2018
Hongteng Xu, Dixin Luo, Xu Chen, Lawrence Carin

* AISTATS 2018 

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Learning Hawkes Processes from Short Doubly-Censored Event Sequences

Jun 07, 2017
Hongteng Xu, Dixin Luo, Hongyuan Zha


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