Yingxue Zhou

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 21

Top Topics

Generalization Bounds

Adaptive Algorithms

Top Venues

EMNLP (Industry Track)

Publications

Arindam Banerjee, Qiaobo Li, Yingxue Zhou
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees. CoRR (2024)
Zhongkai Sun, Yingxue Zhou, Jie Hao, Xing Fan, Yanbin Lu, Chengyuan Ma, Wei Shen, Chenlei Guo
Improving Contextual Query Rewrite for Conversational AI Agents through User-preference Feedback Learning. EMNLP (Industry Track) (2023)
Yancheng Wang, Ziyan Jiang, Zheng Chen, Fan Yang, Yingxue Zhou, Eunah Cho, Xing Fan, Xiaojiang Huang, Yanbin Lu, Yingzhen Yang
RecMind: Large Language Model Powered Agent For Recommendation. CoRR (2023)
Yingxue Zhou, Jie Hao, Mukund Rungta, Yang Liu, Eunah Cho, Xing Fan, Yanbin Lu, Vishal Thanvantri Vasudevan, Kellen Gillespie, Zeynab Raeesy
Unified Contextual Query Rewriting. ACL (industry) (2023)
Yingxue Zhou, Xinyan Li, Arindam Banerjee
Noisy Truncated SGD: Optimization and Generalization. SDM (2022)
Xianyu Meng, Liangli Ma, Yingxue Zhou
Research on Locking Suspect by Using Mathematical Model. ICCDE (2022)
Arindam Banerjee, Tiancong Chen, Xinyan Li, Yingxue Zhou
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics. ICML (2022)
Xianyu Meng, Liangli Ma, Yingxue Zhou
Analysis and Example Implementation of Data Visualization Technology. ICMVA (2022)
Arindam Banerjee, Tiancong Chen, Xinyan Li, Yingxue Zhou
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics. CoRR (2022)
Yingxue Zhou, Xinyan Li, Arindam Banerjee
Noisy Truncated SGD: Optimization and Generalization. CoRR (2021)
Yingxue Zhou, Steven Wu, Arindam Banerjee
Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification. ICLR (2021)
Yingxue Zhou, Xiangyi Chen, Mingyi Hong, Zhiwei Steven Wu, Arindam Banerjee
Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds. CoRR (2020)
Yingxue Zhou, Zhiwei Steven Wu, Arindam Banerjee
Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification. CoRR (2020)
Yingxue Zhou, Belhal Karimi, Jinxing Yu, Zhiqiang Xu, Ping Li
Towards Better Generalization of Adaptive Gradient Methods. NeurIPS (2020)
Arindam Banerjee, Tiancong Chen, Yingxue Zhou
De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors. CoRR (2020)
Xinyan Li, Qilong Gu, Yingxue Zhou, Tiancong Chen, Arindam Banerjee
Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization. SDM (2020)
Xinyan Li, Qilong Gu, Yingxue Zhou, Tiancong Chen, Arindam Banerjee
Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization. CoRR (2019)
Yingxue Zhou, Sheng Chen, Arindam Banerjee
Stable Gradient Descent. UAI (2018)
Chencheng Li, Pan Zhou, Yingxue Zhou, Kaigui Bian, Tao Jiang, Susanto Rahardja
Distributed Private Online Learning for Social Big Data Computing over Data Center Networks. CoRR (2016)
Chencheng Li, Pan Zhou, Yingxue Zhou, Kaigui Bian, Tao Jiang, Susanto Rahardja
Distributed private online learning for social big data computing over data center networks. ICC (2016)
Pan Zhou, Yingxue Zhou, Dapeng Wu, Hai Jin
Differentially Private Online Learning for Cloud-Based Video Recommendation With Multimedia Big Data in Social Networks. IEEE Trans. Multim. 18 (6) (2016)
Pan Zhou, Yingxue Zhou, Dapeng Wu, Hai Jin
Differentially Private Online Learning for Video Recommendation with Social Big Data over Media Cloud. CoRR (2015)