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  • 1802. X. Gu, K. Lyu, L. Huang, S. Arora,. Why (and When) does Local SGD Generalize Better than SGD?. The 14th International OPT Workshop on Optimization for Machine Learning (NeurIPS-OPT), December 2022..  
  • 1801. Shichuan Deng, Jian Li, Yuval Rabani,. Approximation algorithms for clustering with dynamic points. Journal of Computer and System Sciences.  
  • 1800. Jian Li, Daogao Liu. ACM-SIAM Symposium on Discrete Algorithms. Multi-token Markov Game with Switching Costs.. SODA 2022.  
  • 1799. Y. Cai, C. Zhang, W. Shen, X. Zhang, W. Ruan, L. Huang,. RePreM: Representation Pre-training with Masked Model for Reinforcement Learning. Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), February 2023..  
  • 1798. Hui Niu, Siyuan Li and Jian Li,. MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization. Proceedings - The 31st ACM International Conference on Information and Knowledge Management,出版年:2022.  
  • 1797. Xuedi Qin, Chengliang Chai, Nan Tang, Jian Li, Yuyu Luo, Guoliang Li, Yaoyu Zhu,. Synthesizing Privacy Preserving Entity Resolution Datasets,. Proceedings - International Conference on Data Engineering.  
  • 1796. Jing Zhou, Yujie Qian, Ming Ding, Jian Li, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, and Zhilin Yang.. FewNLU: Benchmarking state-of-the-art methods for few-shot natural language understanding. Zheng, Yanan,. ACL 2022.  
  • 1795. Xuedi Qin, Chengliang Chai, Nan Tang,Jian Li, Yuyu Luo, Guoliang Li, Yaoyu Zhu.. Synthesizing Entity Resolution Datasets.. ICDE 2022.  
  • 1794. Jin Xu, Mingjian Chen, Jianqiang Huang, Tangxing Yuan, Ke Hu, Jian Li, Jia Cheng, Jun Lei.. AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020.. ICDE 2022.  
  • 1793. Hui Niu, Siyuan Li and Jian Li.. Integrating Diverse Policies for Portfolio Management via Combining Imitation Learning and Reinforcement Learning.. CIKM 2022.  
  • 1792. Jin Xu, Xu Tan, Kaitao Song, Renqian Luo, Yichong Leng, Tao Qin, Tie-Yan Liu, Jian Li.. Analyzing and Mitigating Interference in Neural Architecture Search.. ICML 2022, spotlight.  
  • 1791. Yitong Duan, Lei Wang, Qizhong Zhang, Jian Li.. FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-sectional Stock Returns.. AAAI Conference on Artificial Intelligence (AAAI 2022)..  
  • 1790. Jing Zhou, Yanan Zheng, Jie Tang, Jian Li, and Zhilin Yang.. FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning.. ACL 2022.  
  • 1789. Shuo Sun, Rundong Wang, Wanqi Xue, Xu He, Junlei Zhu, Jian Li and Bo An.. DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities.. CIKM 2022.  
  • 1788. Jian Li, Xuanyuan Luo. Generalization Bounds for Gradient Methods via Discrete and Continuous Prior.. NeurIPS 2022.  
  • 1787. Zhize Li, Jian Li.. Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization.. Journal of Machine Learning Research (JMLR), 2022 .  
  • 1786. Shichuan Deng, Jian Li, Yuval Rabani. ACM-SIAM Symposium on Discrete Algorithms. Generalized Unrelated Machine Scheduling Problem.. SODA 2023.  
  • 1785. Jin Xu, Xiaojiang Liu, Jianhao Yan, Deng Cai, Huayang Li, Jian Li.. Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation.. NeurIPS 2022.