Dengdeng Yu

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 8

Top Topics

Quantile Regression

Causal Inference

Information Preserving

Cross Validated

Top Venues

J. Mach. Learn. Res.

Comput. Stat. Data Anal.

Publications

Lei Ding, Dengdeng Yu, Jinhan Xie, Wenxing Guo, Shenggang Hu, Meichen Liu, Linglong Kong, Hongsheng Dai, Yanchun Bao, Bei Jiang
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving. AAAI (2022)
Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang
Conformalized Fairness via Quantile Regression. NeurIPS (2022)
Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang
Conformalized Fairness via Quantile Regression. CoRR (2022)
Mohan Zhang, Xiaozhou Wang, Benjamin Decardi-Nelson, Bo Song, An Zhang, Jinfeng Liu, Sile Tao, Jiayi Cheng, Xiaohong Liu, Dengdeng Yu, Matthew Poon, Animesh Garg
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments. NeurIPS (2022)
Yang Zhou, Mark Koudstaal, Dengdeng Yu, Dehan Kong, Fang Yao
Nonparametric Principal Subspace Regression. J. Mach. Learn. Res. 23 (2022)
Lei Ding, Dengdeng Yu, Jinhan Xie, Wenxing Guo, Shenggang Hu, Meichen Liu, Linglong Kong, Hongsheng Dai, Yanchun Bao, Bei Jiang
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving. CoRR (2021)
Dengdeng Yu, Li Zhang, Ivan Mizera, Bei Jiang, Linglong Kong
Sparse wavelet estimation in quantile regression with multiple functional predictors. Comput. Stat. Data Anal. 136 (2019)
Dengdeng Yu, Linglong Kong, Ivan Mizera
Partial functional linear quantile regression for neuroimaging data analysis. Neurocomputing 195 (2016)