Wei Jiang @ LAMDA, NJU-CS

jiangwei.jpg 

姜伟
Wei Jiang
Ph.D. student, LAMDA Group
Department of Computer Science and Technology
National Key Laboratory for Novel Software Technology
Nanjing University, Nanjing 210023, China


Supervisor

      Professor Lijun Zhang

Biography

Research Interests

      My research interests include Machine Learning, Stochastic Optimization and Online learning.

Publication

  1. Learning Unnormalized Statistical Models via Compositional Optimization [PDF]
    W. Jiang, J. Qin, L. Wu, C. Chen, T. Yang, L. Zhang
    In Proceedings of the 40th International Conference on Machine Learning (ICML 2023), pages 15105 - 15124, 2023.

  2. Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization [PDF, Supplementary]
    W. Jiang, G. Li, Y. Wang, L. Zhang, and T. Yang
    In Advances in Neural Information Processing Systems 35 (NeurIPS 2022), pages 32499 - 32511, 2022.

  3. Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor [PDF, Supplementary]
    L. Zhang, W. Jiang, J. Yi, and T. Yang
    In Advances in Neural Information Processing Systems 35 (NeurIPS 2022), pages 4928 - 4942, 2022.

  4. Optimal Algorithms for Stochastic Multi-Level Compositional Optimization [PDF, Bibtex]
    W. Jiang, B. Wang, Y. Wang, L. Zhang, and T. Yang
    In Proceedings of the 39th International Conference on Machine Learning (ICML 2022), pages 10195 - 10216, 2022.

  5. Revisiting Smoothed Online Learning [PDF, Supplementary, Bibtex]
    L. Zhang, W. Jiang, S. Lu, and T. Yang
    In Advances in Neural Information Processing Systems 34 (NeurIPS 2021), pages 13599 - 13612, 2021.

  6. Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions [PDF, Supplementary, Bibtex]
    L. Zhang, G. Wang, W.-W. Tu, W. Jiang, and Z.-H. Zhou
    In Advances in Neural Information Processing Systems 34 (NeurIPS 2021), pages 24968 - 24980, 2021.

Honors and Awards

Academic Service

Teaching Assistant

Correspondence