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09/28/2022
Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model
Network analysis has been a powerful tool to unveil relationships and in...
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12/17/2021
Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects
Federated learning of causal estimands may greatly improve estimation ef...
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05/21/2021
BELT: Block-wise Missing Embedding Learning Transformer
Matrix completion has attracted attention in many fields, including stat...
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10/06/2020
Doubly Robust Covariate Shift Regression with Semi-nonparametric Nuisance Models
Importance weighting is naturally used to adjust for covariate shift. Ho...
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06/23/2020
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation
Offline Reinforcement Learning (RL) is a promising approach for learning...
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04/06/2018
Multi-view Banded Spectral Clustering with application to ICD9 clustering
Despite recent development in methodology, community detection remains a...
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04/04/2018
