Betty Shea
    Department of Computer Science
    University of British Columbia

I am a PhD. student supervised by Dr. Mark Schmidt. My research interests are machine learning and optimization. I am supported by a National Sciences and Engineering Research Council of Canada (NSERC) Canadian Graduate Scholarship - Doctoral (CGS-D) award.


Publications

  • Greedy Newton: Newton's Method with Exact Line Search B. Shea, M. Schmidt. Optimization Letters 2025. PDF

  • Don't Be So Positive: Negative Step Sizes in Second-Order Methods B. Shea, M. Schmidt. Optimization for Machine Learning workshop (NeurIPS) 2024. PDF poster

  • Why Line Search when you can Plane Search? B. Shea, M. Schmidt. arXiv 2024. PDF

  • Faster quasi-Newton methods for linear composition problems. B. Shea, M. Schmidt. Optimization for Machine Learning workshop (NeurIPS) 2021. PDF poster

  • A multiagent model of efficient and sustainable financial markets. B. Shea, M. Schmidt, M. Kamgarpour. Machine Learning for Economic Policy workshop (NeurIPS) 2020. PDF poster

    Work experience

      LinkedIn

    Slides

      Presentations

    Software

      MinFuncSO

    Volunteering

      British Columbia Securities Commission (BCSC): member of the Fintech Advisory Forum

      Conference reviewer (2021 - ): ECML, ICML, NeurIPS, OptML Workshop, IEEE SPL, IEEE TPAMI

    Misc

      Pictures