2025 SPS Student Paper Prize Finalists

Dear Stochastic Programming Society,
We are pleased to announce the finalists for the 2025 Dupačová-Prékopa Best Student Paper Prize in Stochastic Programming. We received 27 excellent nominations this year, so the committee had a very difficult time choosing just 5 finalists. We appreciate and recognize the great work in all the nominations we received.
The finalists will present their work in a dedicated session at ICSP 2025 (icsp2025.org) this summer, where also the winner and 2nd place will be announced. In alphabetical order, the finalists are:
Maria Bazotte, for the paper “Solving Two-Stage Programs with Endogenous Uncertainty via Random Variable Transformation”, co-authored with Margarida Carvalho and Thibaut Vidal.
Mengmeng Li, for the paper “Towards Optimal Offline Reinforcement Learning,” co-authored with Daniel Kuhn and Tobias Sutter.
Haoming Shen, for the paper “Convex Chance-Constrained Programs with Wasserstein Ambiguity”, co-authored with Ruiwei Jiang.
Tianyu Wang, for the paper “Optimizer’s Information Criterion: Dissecting and Correcting Bias in Data-Driven Optimization”, co-authored with Garud Iyengar and Henry Lam.
Xian Yu, for the paper “Multistage distributionally robust mixed-integer programming with decision-dependent moment-based ambiguity sets”, co-authored with Siqian Shen.
Sincerely,
The 2025 Dupačová-Prékopa Best Student Paper Prize in Stochastic Programming Committee:
Jim Luedtke (University of Wisconsin-Madison, chair) Miloš Kopa (Charles University in Prague) Karmel Shehadeh (USC)

