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Robust Optimization Submissions - 2021

January 2021

Distributionally robust second-order stochastic dominance constrained optimization with Wasserstein distance
Yu Mei, Jia Liu, Chen Zhiping

First-order algorithms for robust optimization problems via convex-concave saddle-point Lagrangian reformulation
Krzysztof Postek, Shimrit Shtern

A Robust Approach for Modeling Limited Observability in Bilevel Optimization
Yasmine Beck, Martin Schmidt

Reliable Off-policy Evaluation for Reinforcement Learning
Jie Wang, Rui Gao, Hongyuan Zha

Utility Preference Robust Optimization with Moment-Type Information Structure
Guo Shaoyan, Xu Huifu


February 2021

Optimal Transport in the Face of Noisy Data
Bart Paul Gerard Van Parys

An adaptive robust optimization model for parallel machine scheduling
Izack Cohen, Krzysztof Postek, Shimrit Shtern


March 2021

A nonparametric algorithm for optimal stopping based on robust optimization
Bradley Sturt

Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical Solution
Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn


April 2021

The Analytics of Robust Satisficing
Melvyn Sim, Qinshen Tang, Minglong Zhou, Taozeng Zhu

Mathematical Foundations of Robust and Distributionally Robust Optimization
Jianzhe Zhen, Daniel Kuhn, Wolfram Wiesemann


May 2021

Robust Conic Satisficing
Arjun Ramachandra, Napat Rujeerapaiboon, Melvyn Sim

On the Optimality of Affine Decision Rules in Robust and Distributionally Robust Optimization
Angelos Georghiou, Angelos Tsoukalas, Wolfram Wiesemann

A Generic Optimization Framework for Resilient Systems
Marc E. Pfetsch, Andreas Schmitt


June 2021

Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts
Bahar Taskesen, Man-Chung Yue, Jose Blanchet, Daniel Kuhn, Viet Anh Nguyen

Robust Generalization despite Distribution Shift via Minimum Discriminating Information
Tobias Sutter, Andreas Krause, Daniel Kuhn

New complexity results and algorithms for min-max-min robust combinatorial optimization
Jannis Kurtz

Distributionally Robust Optimization with Markovian Data
Mengmeng Li, Tobias Sutter, Daniel Kuhn

RSOME in Python: An Open-Source Package for Robust Stochastic Optimization Made Easy
Peng Xiong, Zhi Chen

Robust Stochastic Optimization with Rare-Event Modeling
Aakil Caunhye, Douglas Alem

Practicable Robust Stochastic Optimization under Divergence Measures
Aakil Caunhye, Douglas Alem

Adjustable Distributionally Robust Optimization with Infinitely Constrained Ambiguity Sets
Haolin Ruan, Zhi Chen, Chin Pang Ho


July 2021

Exact and Approximate Schemes for Robust Optimization Problems with Decision Dependent Information Discovery
Rosario Paradiso, Angelos Georghiou, Said Dabia, Denise Tönissen


August 2021

Extremal Probability Bounds in Combinatorial Optimization
Divya Padmanabhan, Selin Damla Ahipasaoglu, Arjun Ramachandra, Karthik Natarajan


September 2021

Pareto Robust Optimization on Euclidean Vector Spaces
Dennis Adelhütte, Christian Biefel, Martina Kuchlbauer, Jan Hendrik Rolfes

Data-Driven Distributionally Preference Robust Optimization Models Based on Random Utility Representation in Multi-Attribute Decision Making
Jian Hu, Dali Zhang, Huifu Xu

Sinkhorn Distributionally Robust Optimization
Jie Wang, Rui Gao, Yao Xie


October 2021

Robust CARA Optimization
Li Chen, Melvyn Sim

Adjustability in Robust Optimization
Ningji Wei, Peter Zhang

Screening with Limited Information: The Minimax Theorem and A Geometric Approach
Zhi Chen, Zhenyu Hu, Ruiqin Wang

Adjustability in Robust Linear Optimization
Ningji Wei, Peter Zhang

Contextual Decision-making with Parametric Uncertainty and Data-driven Optimistic Optimization
Junyu Cao, Rui Gao


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