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Your search keyword '"Sun, Yuying"' showing total 821 results
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821 results on '"Sun, Yuying"'

1. Sparse Interval-valued Time Series Modeling with Machine Learning

Author

Bao, Haowen, Hong, Yongmiao, Sun, Yuying, and Wang, Shouyang

Subjects
Economics - Econometrics
Abstract

By treating intervals as inseparable sets, this paper proposes sparse machine learning regressions for high-dimensional interval-valued time series. With LASSO or adaptive LASSO techniques, we develop a penalized minimum distance estimation, which covers point-based estimators are special cases. We establish the consistency and oracle properties of the proposed penalized estimator, regardless of whether the number of predictors is diverging with the sample size. Monte Carlo simulations demonstrate the favorable finite sample properties of the proposed estimation. Empirical applications to interval-valued crude oil price forecasting and sparse index-tracking portfolio construction illustrate the robustness and effectiveness of our method against competing approaches, including random forest and multilayer perceptron for interval-valued data. Our findings highlight the potential of machine learning techniques in interval-valued time series analysis, offering new insights for financial forecasting and portfolio management., Comment: 37 pages, 3 figures

Published
2024

2. Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from Human Input

Author

Peng, Andi, Sun, Yuying, Shu, Tianmin, and Abel, David

Subjects
Computer Science - Machine Learning, Computer Science - Computation and Language
Abstract

Humans use social context to specify preferences over behaviors, i.e. their reward functions. Yet, algorithms for inferring reward models from preference data do not take this social learning view into account. Inspired by pragmatic human communication, we study how to extract fine-grained data regarding why an example is preferred that is useful for learning more accurate reward models. We propose to enrich binary preference queries to ask both (1) which features of a given example are preferable in addition to (2) comparisons between examples themselves. We derive an approach for learning from these feature-level preferences, both for cases where users specify which features are reward-relevant, and when users do not. We evaluate our approach on linear bandit settings in both vision- and language-based domains. Results support the efficiency of our approach in quickly converging to accurate rewards with fewer comparisons vs. example-only labels. Finally, we validate the real-world applicability with a behavioral experiment on a mushroom foraging task. Our findings suggest that incorporating pragmatic feature preferences is a promising approach for more efficient user-aligned reward learning., Comment: ICML 2024

Published
2024

43. Endovascular therapy in acute ischaemic stroke with large infarction with matched or mismatched clinical-radiological severities: a post-hoc analysis of the ANGEL-ASPECT trial

Author

Wang, Yongjun, Wang, Yilong, Liu, Liping, Liebeskind, David S., Miao, Zhongrong, Ren, Zeguang, Pereira, Vitor Mendes, Ji, Xunming, Dong, Qiang, Xu, Anding, Liu, Xinfeng, Yang, Qingwu, Jing (Chair), Jing, Zhang, Zhe, Zhang, Yingkui, Wu, Wei, Sun, Dapeng, Qi, Zhongqi, Li, Shuo, Liu, Zhenqiang, Yu, Zequan, Zhang, Jingyu, Chen, Fangguang, Li, Kangyue, Zhang, Kai, Hu, Mingkai, Liu (Chair), Jianmin, Yao, Chen, Chen, Kangning, Fang (Chair), Kun, Song, Bo, Dong, Yi, Huo, Xiaochuan, Ma, Gaoting, Yuan, Guangxiong, Han, Hongxing, Chen, Wenhuo, Wei, Ming, Zhang, Jiangang, Zhou, Zhiming, Yao, Xiaoxi, Wang, Guoqing, Song, Weigen, Cai, Xueli, Nan, Guangxian, Li, Di, Wang, Yizhou, Ling, Wentong, Cai, Chuwei, Wen, Changming, Wang, En, Zhang, Liyong, Jiang, Changchun, Liu, Yajie, Liao, Geng, Chen, Xiaohui, Li, Tianxiao, Liu, Shudong, Li, Jinglun, Sun, Yaxuan, Xu, Na, Gao, Zong’en, Ju, Dongsheng, Song, Cunfeng, Xuan, Jinggang, Zhou, Feng, Shi, Qing, Luo, Jun, Liu, Yan, Guo, Zaiyu, Li, Tong, Zheng, Hongbo, Dai, Linzhi, Zhao, Junfeng, Gui, Liqiang, Geng, Xiaokun, Tang, Yufeng, Yin, Congguo, Yang, Hua, An, Ruiyang, Sun, Yuying, Wu, Yanan, Yu, Chunlai, Zheng, Shuangcheng, Pan, Yuesong, Jin, Aoming, Xiang, Xianglong, Wang, Mengxing, Yan, Hongyi, He, Yuanling, Li, Chunyang, Kong, Weixia, Chen, Yuhuan, Guo, Chenhao, Ji, Fengjie, Ji, Pengshan, Liu, Lei, Lu, Xinghua, Luo, Guangkuo, Wang, Nanjing, Zhang, Yu, Liu, Bo, Yang, Jian, Deng, Jingjing, Wang, Juan, Wang, Wanru, Yu, Hang, Cui, Le, Liu, Wenwen, Wang, Ziyong, Zhao, Xia, Zhou, Zhou, Yi-Chou Wang, Alvin, Zheng, Lina, Nie, Ximing, Liu, Xin, Duan, Wanying, Liu, Jingyi, Wei, Yufei, Wen, Miao, Yang, Zhonghua, Leung, Thomas W., Nguyen, Thanh N., and Leng, Xinyi

Published
2024
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