Bart Van Parys

Email : bart@vanparys.xyz
Email : bart.van.parys@cwi.nl

I am an associate professor in the stochastics group at the national research institute for mathematics and computer science (CWI) in Amsterdam, the Netherlands. My research is located on the interface between optimization and machine learning. In particular, I develop novel mathematical methodologies and algorithms with which we can turn data into better decisions. Although most of my research is methodological, I do enjoy applications related to problems in renewable energy.

Spotlight Publications

• Aolaritei, Liviu , B.P.G. Van Parys, Henry Lam, Michael I. Jordan (2025). “Stochastic Optimization with Optimal Importance Sampling” In ArXiv Link

• Van Parys, B.P.G., and Bert Zwart (2025). “Robust mean estimation for optimization: The impact of heavy tails” In: ArXiv Link

• Gabriel Chan, B.P.G. Van Parys, M. Amine Bennouna (2024). “From distributional robustness to robust statistics: A confidence sets perspective” Link

• Van Parys, B.P.G. (2024). “Efficient data-driven optimization with noisy data “. In: Operations Research Letters. Link

• Liu, Z., B.P.G. Van Parys, and H. Lam (2023). “Smoothing $f$-divergence distributionally robust optimization: Rate optimality and complexity independence”. In: ArXiv Link

Interests

I am always interested in students or collaborators interested in working on

• Optimization Algorithms
• Robust Analytics
• Statistical Efficiency