Zihao HU

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Zihao HU, 胡子豪

  • Room 3483

Calculated based on number of publications stored in Pure and citations from Scopus
20162025

Research activity per year

Personal profile

Research interests

Mathematics & Statistics - Optimization
Computer Science / Information Technology - Game theory
Industrial engineering - Operations research
Industrial engineering - Decision making

Related documents

Education/Academic qualification

PhD in Machine Learning, PhD, Georgia Institute of Technology

2023

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Collaborations and top research areas from the last five years

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  • 4 Conference Paper published in a book
  • 2 Conference article published in journal
  • 1 Journal Article

  • Extragradient Type Methods for Riemannian Variational Inequality Problems

    Hu, Z., Wang, G., Wang, X., Wibisono, A., Abernethy, J. & Tao, M., 2024, In: Proceedings of Machine Learning Research. 238, p. 2080-2088 9 p.

    Research output: Contribution to journal › Conference article published in journal › peer-review

    1 Citation (Scopus)

  • Faster Margin Maximization Rates for Generic Optimization Methods

    Wang, G., Hu, Z., Muthukumar, V. & Abernethy, J., 2023, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 36).

    Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

    2 Citations (Scopus)

  • Minimizing Dynamic Regret on Geodesic Metric Spaces

    Hu, Z., Wang, G. & Abernethy, J., 2023, In: Proceedings of Machine Learning Research. 195, p. 4336-4383 48 p.

    Research output: Contribution to journal › Conference article published in journal › peer-review

    2 Citations (Scopus)

  • Riemannian Projection-free Online Learning

    Hu, Z., Wang, G. & Abernethy, J., 2023, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 36).

    Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

    4 Citations (Scopus)

  • Adaptive Oracle-Efficient Online Learning

    Wang, G., Hu, Z., Muthukumar, V. & Abernethy, J., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

    2 Citations (Scopus)
View all 7 research outputs