2025 Roger J. B. Wets Junior Researcher Best Paper Prize Finalists
Dear Stochastic Programming Society,
We are pleased to announce the finalists for the 2025 Roger J. B. Wets Junior Researcher Best Paper Prize. We have received excellent nominations this year and after careful deliberation the jury has chosen 2 finalists.
Both finalists will present their work in a dedicated session on Wednesday 30/07 at ICSP 2025. In alphabetical order, the finalists are:
- Rui Gao, for the paper : "Finite-Sample Guarantees for Wasserstein Distributionally Robust Optimization: Breaking the Curse of Dimensionality"
- Bradley Sturt, for the paper : "A nonparametric algorithm for optimal stopping based on robust optimization"
Congratulations to the finalists!
Sincerely,
The 2025 Roger J. B. Wets Junior Researcher Best Paper Prize Committee:
Andrzej Ruszczynski (Rutgers University)
Siqian Shen (University of Michigan at Ann Arbor),
Wim van Ackooij (EDF-Lab Paris-Saclay, Chair).
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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 Carolina 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)