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High-Dimensional Spatial Quantile Function-on-Scalar Regression
This paper develops a novel spatial quantile function-on-scalar regressi...
12/19/2020 ∙ by Zhengwu Zhang, et al. ∙
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Learning Privately over Distributed Features: An ADMM Sharing Approach
Distributed machine learning has been widely studied in order to handle ...
07/17/2019 ∙ by Yaochen Hu, et al. ∙
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Distributional Reinforcement Learning for Efficient Exploration
In distributional reinforcement learning (RL), the estimated distributio...
05/13/2019 ∙ by Borislav Mavrin, et al. ∙
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Deep Reinforcement Learning with Decorrelation
Learning an effective representation for high-dimensional data is a chal...
03/18/2019 ∙ by Borislav Mavrin, et al. ∙
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QUOTA: The Quantile Option Architecture for Reinforcement Learning
In this paper, we propose the Quantile Option Architecture (QUOTA) for e...
11/05/2018 ∙ by Shangtong Zhang, et al. ∙
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House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis
Online real-estate information systems such as Zillow and Trulia have ga...
03/01/2018 ∙ by Bang Liu, et al. ∙
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Recover Fine-Grained Spatial Data from Coarse Aggregation
In this paper, we study a new type of spatial sparse recovery problem, t...
03/01/2018 ∙ by Bang Liu, et al. ∙
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Growing Story Forest Online from Massive Breaking News
We describe our experience of implementing a news content organization s...
03/01/2018 ∙ by Bang Liu, et al. ∙
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cqrReg: An R Package for Quantile and Composite Quantile Regression and Variable Selection
The cqrReg package for R is the first to introduce a family of robust, h...
09/13/2017 ∙ by Matthew Pietrosanu, et al. ∙
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An Alternative Approach to Functional Linear Partial Quantile Regression
We have previously proposed the partial quantile regression (PQR) predic...
09/07/2017 ∙ by Dengdeng Yu, et al. ∙
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Expectile Matrix Factorization for Skewed Data Analysis
Matrix factorization is a popular approach to solving matrix estimation ...
06/07/2016 ∙ by Rui Zhu, et al. ∙
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Local Region Sparse Learning for Image-on-Scalar Regression
Identification of regions of interest (ROI) associated with certain dise...
05/27/2016 ∙ by Yao Chen, et al. ∙
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