Zhu, Jin

Number of items: 10.
Article
  • Ma, Tao, Zhu, Jin, Cai, Hengrui, Qi, Zhengling, Chen, Yunxiao, Shi, Chengchun, Laber, Eric B. (2026). Sequential knockoffs for variable selection in reinforcement learning. Journal of the American Statistical Association, picture_as_pdf
  • Chen, Xuanyu, Zhu, Jin, Zhu, Junxian, Wang, Xueqin, Zhang, Heping (2026). Reconstruct Ising Model with global optimality via SLIDE. Journal of the American Statistical Association, https://doi.org/10.1080/01621459.2025.2571245
  • Chen, Peng, Zhu, Jin, Zhu, Junxian, Wang, Xueqin (2025). Simplex constrained sparse optimization via tail screening. Journal of Machine Learning Research, 26, picture_as_pdf
  • Tang, Bo Rui, Zhu, Jin, Wang, Ting Yin, Zhu, Junxian (2025). A splicing algorithm for best subset selection in sliced inverse regression. Journal of University of Science and Technology of China, 55(5). https://doi.org/10.52396/JUSTC-2024-0034 picture_as_pdf
  • Wang, Xueqin, Zhu, Jin, Pan, Wenliang, Zhu, Junhao, Zhang, Heping (2024). Nonparametric statistical inference via metric distribution function in metric spaces. Journal of the American Statistical Association, 119(548), 2772 - 2784. https://doi.org/10.1080/01621459.2023.2277417 picture_as_pdf
  • Wang, Zezhi, Zhu, Junxian, Wang, Xueqin, Zhu, Jin, Peng, Huiyang, Chen, Peng, Wang, Anran, Zhang, Xiaoke (2024). skscope: fast sparsity-constrained optimization in Python. Journal of Machine Learning Research, 25, picture_as_pdf
  • Zhu, Jin, Wan, Runzhe, Qi, Zhengling, Luo, Shikai, Shi, Chengchun (2024). Robust offline reinforcement learning with heavy-tailed rewards. Proceedings of Machine Learning Research, 238, 541 - 549. picture_as_pdf
    • Chapter
  • Zhu, Jin, Li, Jingyi, Zhou, Hongyi, Lin, Yinan, Lin, Zhenhua, Shi, Chengchun (2025). Balancing interference and correlation in spatial experimental designs: a causal graph cut approach. In Proceedings of the 42nd International Conference on Machine Learning . ACM Press. picture_as_pdf
  • Zhou, Hongyi, Hanna, Josiah P., Zhu, Jin, Yang, Ying, Shi, Chengchun (2025). Demystifying the paradox of importance sampling with an estimated history-dependent behavior policy in off-policy evaluation. In Proceedings of the 42nd International Conference on Machine Learning . ACM Press. picture_as_pdf
    • Conference or Workshop Item
  • Zhou, Hongyi, Zhu, Jin, Su, Pingfan, Ye, Kai, Yang, Ying, Gavioli Akilagun, Shakeel, Shi, Chengchun (2025-11-30 - 2025-12-07) AdaDetectGPT: adaptive detection of LLM-generated text with statistical guarantees [Paper]. 39th Conference on Neural Information Processing Systems. picture_as_pdf