Erick Delage

Orcid: 0000-0002-6740-3600

According to our database1, Erick Delage authored at least 53 papers between 2005 and 2025.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
A survey of contextual optimization methods for decision-making under uncertainty.
Eur. J. Oper. Res., 2025

2024
Distributional Robustness and Inequity Mitigation in Disaster Preparedness of Humanitarian Operations.
Manuf. Serv. Oper. Manag., January, 2024

Crowdkeeping in Last-Mile Delivery.
Transp. Sci., 2024

Technical Note - Risk-Averse Regret Minimization in Multistage Stochastic Programs.
Oper. Res., 2024

Data-Driven Optimization with Distributionally Robust Second Order Stochastic Dominance Constraints.
Oper. Res., 2024

A Column Generation Scheme for Distributionally Robust Multi-Item Newsvendor Problems.
INFORMS J. Comput., 2024

Data-driven decision-making under uncertainty with entropic risk measure.
CoRR, 2024

End-to-end Conditional Robust Optimization.
CoRR, 2024

Robust Data-driven Prescriptiveness Optimization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
WaveCorr: Deep reinforcement learning with permutation invariant convolutional policy networks for portfolio management.
Oper. Res. Lett., November, 2023

A double-oracle, logic-based Benders decomposition approach to solve the K-adaptability problem.
Comput. Oper. Res., July, 2023

The Value of Randomized Strategies in Distributionally Robust Risk-Averse Network Interdiction Problems.
INFORMS J. Comput., 2023

On Dynamic Program Decompositions of Static Risk Measures.
CoRR, 2023

On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Shortfall Risk Models When Information on Loss Function Is Incomplete.
Oper. Res., November, 2022

Adjustable Robust Optimization Reformulations of Two-Stage Worst-Case Regret Minimization Problems.
Oper. Res., 2022

The Value of Randomized Solutions in Mixed-Integer Distributionally Robust Optimization Problems.
INFORMS J. Comput., 2022

Affine decision rule approximation to address demand response uncertainty in smart Grids' capacity planning.
Eur. J. Oper. Res., 2022

Robust Integration of Electric Vehicles Charging Load in Smart Grid's Capacity Expansion Planning.
Dyn. Games Appl., 2022

Data-Driven Conditional Robust Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Risk-Aware Bid Optimization for Online Display Advertisement.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Lagrangian Duality for Robust Problems with Decomposable Functions: The Case of a Robust Inventory Problem.
INFORMS J. Comput., 2021

Linearized Robust Counterparts of Two-Stage Robust Optimization Problems with Applications in Operations Management.
INFORMS J. Comput., 2021

Data-driven distributionally robust capacitated facility location problem.
Eur. J. Oper. Res., 2021

WaveCorr: Correlation-savvy Deep Reinforcement Learning for Portfolio Management.
CoRR, 2021

Deep Reinforcement Learning for Equal Risk Pricing and Hedging under Dynamic Expectile Risk Measures.
CoRR, 2021

Deep Reinforcement Learning for Optimal Stopping with Application in Financial Engineering.
CoRR, 2021

2020
Adaptive Distributionally Robust Optimization for Electricity and Electrified Transportation Planning.
IEEE Trans. Smart Grid, 2020

Probabilistic Envelope Constrained Multiperiod Stochastic Emergency Medical Services Location Model and Decomposition Scheme.
Transp. Sci., 2020

Generalization bounds for regularized portfolio selection with market side information.
INFOR Inf. Syst. Oper. Res., 2020

The value of randomized strategies in distributionally robust risk averse network interdiction games.
CoRR, 2020

Distributionally Robust Local Non-parametric Conditional Estimation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
"Dice"-sion-Making Under Uncertainty: When Can a Random Decision Reduce Risk?
Manag. Sci., 2019

2018
The Value of Flexibility in Robust Location-Transportation Problems.
Transp. Sci., 2018

Minimizing Risk Exposure When the Choice of a Risk Measure Is Ambiguous.
Manag. Sci., 2018

A Practicable Robust Counterpart Formulation for Decomposable Functions: A Network Congestion Case Study.
Oper. Res., 2018

A stochastic program with time series and affine decision rules for the reservoir management problem.
Eur. J. Oper. Res., 2018

A successive linear programming algorithm with non-linear time series for the reservoir management problem.
Comput. Manag. Sci., 2018

2017
Decision rule approximations for the risk averse reservoir management problem.
Eur. J. Oper. Res., 2017

2016
Robust Optimization of Sums of Piecewise Linear Functions with Application to Inventory Problems.
Oper. Res., 2016

Computational management science special issue on "Robust Optimization and Applications".
Comput. Manag. Sci., 2016

2015
Decision Making Under Uncertainty When Preference Information Is Incomplete.
Manag. Sci., 2015

2014
Distributionally Robust Stochastic Knapsack Problem.
SIAM J. Optim., 2014

The Value of Stochastic Modeling in Two-Stage Stochastic Programs with Cost Uncertainty.
Oper. Res., 2014

2013
Robust Partitioning for Stochastic Multivehicle Routing.
Oper. Res., 2013

2011
A Unified Framework for Dynamic Prediction Market Design.
Oper. Res., 2011

2010
Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems.
Oper. Res., 2010

Percentile Optimization for Markov Decision Processes with Parameter Uncertainty.
Oper. Res., 2010

2009
A unified framework for dynamic pari-mutuel information market design.
Proceedings of the Proceedings 10th ACM Conference on Electronic Commerce (EC-2009), 2009

Regret-based online ranking for a growing digital library.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2007
Percentile optimization in uncertain Markov decision processes with application to efficient exploration.
Proceedings of the Machine Learning, 2007

2006
A Dynamic Bayesian Network Model for Autonomous 3D Reconstruction from a Single Indoor Image.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Automatic Single-Image 3d Reconstructions of Indoor Manhattan World Scenes.
Proceedings of the Robotics Research: Results of the 12th International Symposium, 2005


  Loading...