Automatic Single-Image 3d Reconstructions of Indoor Manhattan World Scenes. - Erick Delage; Honglak Lee; Andrew Y. Ng (ISRR, 2005)

A Dynamic Bayesian Network Model for Autonomous 3D Reconstruction from a Single Indoor Image. - Erick Delage; Honglak Lee; Andrew Y. Ng (CVPR (2), 2006)

Percentile optimization in uncertain Markov decision processes with application to efficient exploration. - Erick Delage; Shie Mannor (ICML, 2007)

Regret-based online ranking for a growing digital library. - Erick Delage (KDD, 2009)

A unified framework for dynamic pari-mutuel information market design. - Shipra Agrawal 001; Erick Delage; Mark Peters; Zizhuo Wang 001; Yinyu Ye 001 (EC, 2009)

Percentile Optimization for Markov Decision Processes with Parameter Uncertainty. - Erick Delage; Shie Mannor (Oper. Res., 2010)

Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems. - Erick Delage; Yinyu Ye 001 (Oper. Res., 2010)

A Unified Framework for Dynamic Prediction Market Design. - Shipra Agrawal 001; Erick Delage; Mark Peters; Zizhuo Wang 001; Yinyu Ye 001 (Oper. Res., 2011)

Robust Partitioning for Stochastic Multivehicle Routing. - John Gunnar Carlsson; Erick Delage (Oper. Res., 2013)

The Value of Stochastic Modeling in Two-Stage Stochastic Programs with Cost Uncertainty. - Erick Delage; Sharon Arroyo; Yinyu Ye 001 (Oper. Res., 2014)

Distributionally Robust Stochastic Knapsack Problem. - Jianqiang Cheng; Erick Delage; Abdel Lisser (SIAM J. Optim., 2014)

Decision Making Under Uncertainty When Preference Information Is Incomplete. - Benjamin Armbruster; Erick Delage (Manag. Sci., 2015)

Computational management science special issue on "Robust Optimization and Applications". - Erick Delage; Dan Andrei Iancu (Comput. Manag. Sci., 2016)

Robust Optimization of Sums of Piecewise Linear Functions with Application to Inventory Problems. - Amir Ardestani-Jaafari; Erick Delage (Oper. Res., 2016)

Decision rule approximations for the risk averse reservoir management problem. - Charles Gauvin; Erick Delage; Michel Gendreau (Eur. J. Oper. Res., 2017)

A successive linear programming algorithm with non-linear time series for the reservoir management problem. - Charles Gauvin; Erick Delage; Michel Gendreau (Comput. Manag. Sci., 2018)

A stochastic program with time series and affine decision rules for the reservoir management problem. - Charles Gauvin; Erick Delage; Michel Gendreau (Eur. J. Oper. Res., 2018)

A Practicable Robust Counterpart Formulation for Decomposable Functions: A Network Congestion Case Study. - Erick Delage; Luca Giovanni Gianoli; Brunilde Sansò (Oper. Res., 2018)

Minimizing Risk Exposure When the Choice of a Risk Measure Is Ambiguous. - Erick Delage; Jonathan Yu-Meng Li (Manag. Sci., 2018)

The Value of Flexibility in Robust Location-Transportation Problems. - Amir Ardestani-Jaafari; Erick Delage (Transp. Sci., 2018)

"Dice"-sion-Making Under Uncertainty: When Can a Random Decision Reduce Risk? - Erick Delage; Daniel Kuhn 001; Wolfram Wiesemann (Manag. Sci., 2019)

Distributionally Robust Local Non-parametric Conditional Estimation. - Viet Anh Nguyen; Fan Zhang 059; José H. Blanchet; Erick Delage; Yinyu Ye 001 (NeurIPS, 2020)

The value of randomized strategies in distributionally robust risk averse network interdiction games. - Utsav Sadana; Erick Delage (CoRR, 2020)

Generalization bounds for regularized portfolio selection with market side information. - Thierry Bazier-Matte; Erick Delage (INFOR Inf. Syst. Oper. Res., 2020)

Probabilistic Envelope Constrained Multiperiod Stochastic Emergency Medical Services Location Model and Decomposition Scheme. - Chun Peng; Erick Delage; Jinlin Li (Transp. Sci., 2020)

Adaptive Distributionally Robust Optimization for Electricity and Electrified Transportation Planning. - Ali Hajebrahimi; Innocent Kamwa; Erick Delage; Morad Mohamed Abdelmageed Abdelaziz (IEEE Trans. Smart Grid, 2020)

Deep Reinforcement Learning for Optimal Stopping with Application in Financial Engineering. - Abderrahim Fathan; Erick Delage (CoRR, 2021)

Deep Reinforcement Learning for Equal Risk Pricing and Hedging under Dynamic Expectile Risk Measures. - Saeed Marzban; Erick Delage; Jonathan Yu-Meng Li (CoRR, 2021)

WaveCorr: Correlation-savvy Deep Reinforcement Learning for Portfolio Management. - Saeed Marzban; Erick Delage; Jonathan Yu-Meng Li; Jeremie Desgagne-Bouchard; Carl Dussault (CoRR, 2021)

Data-driven distributionally robust capacitated facility location problem. - Ahmed Saif; Erick Delage (Eur. J. Oper. Res., 2021)

Linearized Robust Counterparts of Two-Stage Robust Optimization Problems with Applications in Operations Management. - Amir Ardestani-Jaafari; Erick Delage (INFORMS J. Comput., 2021)

Lagrangian Duality for Robust Problems with Decomposable Functions: The Case of a Robust Inventory Problem. - Filipe Rodrigues 002; Agostinho Agra; Cristina Requejo; Erick Delage (INFORMS J. Comput., 2021)

Risk-Aware Bid Optimization for Online Display Advertisement. - Rui Fan; Erick Delage (CIKM, 2022)

Data-Driven Conditional Robust Optimization. - Abhilash Reddy Chenreddy; Nymisha Bandi; Erick Delage (NeurIPS, 2022)

Robust Integration of Electric Vehicles Charging Load in Smart Grid's Capacity Expansion Planning. - Sajad Aliakbari Sani; Olivier Bahn; Erick Delage; Rinel Foguen Tchuendom (Dyn. Games Appl., 2022)

Affine decision rule approximation to address demand response uncertainty in smart Grids' capacity planning. - Sajad Aliakbari Sani; Olivier Bahn; Erick Delage (Eur. J. Oper. Res., 2022)

The Value of Randomized Solutions in Mixed-Integer Distributionally Robust Optimization Problems. - Erick Delage; Ahmed Saif (INFORMS J. Comput., 2022)

Adjustable Robust Optimization Reformulations of Two-Stage Worst-Case Regret Minimization Problems. - Mehran Poursoltani; Erick Delage (Oper. Res., 2022)

Shortfall Risk Models When Information on Loss Function Is Incomplete. - Erick Delage; Shaoyan Guo; Huifu Xu (Oper. Res., 2022)

On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes. - Jia Lin Hau; Erick Delage; Mohammad Ghavamzadeh; Marek Petrik (NeurIPS, 2023)

On Dynamic Program Decompositions of Static Risk Measures. - Jia Lin Hau; Erick Delage; Mohammad Ghavamzadeh; Marek Petrik (CoRR, 2023)

The Value of Randomized Strategies in Distributionally Robust Risk-Averse Network Interdiction Problems. - Utsav Sadana; Erick Delage (INFORMS J. Comput., 2023)

A double-oracle, logic-based Benders decomposition approach to solve the K-adaptability problem. - Alireza Ghahtarani; Ahmed Saif; Alireza Ghasemi; Erick Delage (Comput. Oper. Res., 2023)

WaveCorr: Deep reinforcement learning with permutation invariant convolutional policy networks for portfolio management. - Saeed Marzban; Erick Delage; Jonathan Yu-Meng Li; Jeremie Desgagne-Bouchard; Carl Dussault (Oper. Res. Lett., 2023)

Robust Data-driven Prescriptiveness Optimization. - Mehran Poursoltani; Erick Delage; Angelos Georghiou (ICML, 2024)

Conformal Inverse Optimization. - Bo Lin; Erick Delage; Timothy C. Y. Chan (NeurIPS, 2024)

End-to-end Conditional Robust Optimization. - Abhilash Reddy Chenreddy; Erick Delage (UAI, 2024)

Data-driven decision-making under uncertainty with entropic risk measure. - Utsav Sadana; Erick Delage; Angelos Georghiou (CoRR, 2024)

Planning and Learning in Risk-Aware Restless Multi-Arm Bandit Problem. - Nima Akbarzadeh; Erick Delage; Yossiri Adulyasak (CoRR, 2024)

A Column Generation Scheme for Distributionally Robust Multi-Item Newsvendor Problems. - Shanshan Wang; Erick Delage (INFORMS J. Comput., 2024)

Data-Driven Optimization with Distributionally Robust Second Order Stochastic Dominance Constraints. - Chun Peng; Erick Delage (Oper. Res., 2024)

Technical Note - Risk-Averse Regret Minimization in Multistage Stochastic Programs. - Mehran Poursoltani; Erick Delage; Angelos Georghiou (Oper. Res., 2024)

Crowdkeeping in Last-Mile Delivery. - Xin Wang; Okan Arslan; Erick Delage (Transp. Sci., 2024)

Distributional Robustness and Inequity Mitigation in Disaster Preparedness of Humanitarian Operations. - Hongming Li; Erick Delage; Ning Zhu; Michael L. Pinedo; Shoufeng Ma (Manuf. Serv. Oper. Manag., 2024)

Planning and Learning in Risk-Aware Restless Multi-Arm Bandits. - Nima Akbarzadeh; Yossiri Adulyasak; Erick Delage (AISTATS, 2025)

Q-learning for Quantile MDPs: A Decomposition, Performance, and Convergence Analysis. - Jia Lin Hau; Erick Delage; Esther Derman; Mohammad Ghavamzadeh; Marek Petrik (AISTATS, 2025)

Fair Resource Allocation in Weakly Coupled Markov Decision Processes. - Xiaohui Tu; Yossiri Adulyasak; Nima Akbarzadeh; Erick Delage (AISTATS, 2025)

A survey of contextual optimization methods for decision-making under uncertainty. - Utsav Sadana; Abhilash Reddy Chenreddy; Erick Delage; Alexandre Forel; Emma Frejinger; Thibaut Vidal (Eur. J. Oper. Res., 2025)

Navigating Demand Uncertainty in Container Shipping: Deep Reinforcement Learning for Enabling Adaptive and Feasible Master Stowage Planning. - Jaike van Twiller; Yossiri Adulyasak; Erick Delage; Djordje Grbic; Rune Møller Jensen (CoRR, 2025)

Planning and Learning in Average Risk-aware MDPs. - Weikai Wang; Erick Delage (CoRR, 2025)