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Basically a bread
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Basically a bread

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JenniferNguyen24/README.md

Hi, My name is Bao Dung, or just call me Jennifer. I am a passionate researcher in the field of machine learning, game theory and quantitative finance. I have authored and co-authored 4 peer-reviewed publications in top-tier journals and conferences (two funded by AFOSR) . My research interests include machine learning theory, convex optimization, little bit of learning theory, and recently quant finance. I am currently exploring the intersection of machine learning and financial markets, aiming to develop innovative strategies for portfolio optimization and risk management.

🤝 Connect with me LinkedIn

📜 Follow my work on Google Scholar to stay updated on my latest research and publications.

📩 My email for work: jennifernguyen.me@gmail.com

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  1. GraphColoring GraphColoring Public

    Contains the implementation of linear optimization solution on graph coloring problem, mostly for INT3103 class

    Python 1

  2. MIA-and-Convergence-Landscape MIA-and-Convergence-Landscape Public

    Quantifying model's privacy leak in relation with to the geometry of its loss landscape optima.

    Python

  3. Monte-Carlo-Counterfactual-Regret-Minimization Monte-Carlo-Counterfactual-Regret-Minimization Public

    Monte-Carlo Counterfactual Regret Minimization for Imperfect Information Games, underlining theory for market maker trading simulation. Numerical validation about the theory is performed on Kuhn Poker

    Python