Erick Delage

Erick Delage

HEC Montréal

H-index: 23

North America-Canada

About Erick Delage

Erick Delage, With an exceptional h-index of 23 and a recent h-index of 20 (since 2020), a distinguished researcher at HEC Montréal, specializes in the field of Decision making under uncertainty, robust optimization, stochastic programming, applied statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Conformal Inverse Optimization

A column generation scheme for distributionally robust multi-item newsvendor problems

A survey of contextual optimization methods for decision-making under uncertainty

Data-driven stochastic vehicle routing problems with dead-lines

Crowdkeeping in last-mile delivery

On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes

The value of randomized strategies in distributionally robust risk-averse network interdiction problems

A Double-oracle, Logic-based Benders decomposition approach to solve the K-adaptability problem

Erick Delage Information

University

Position

Professor Department of Decision Sciences

Citations(all)

4032

Citations(since 2020)

2618

Cited By

2460

hIndex(all)

23

hIndex(since 2020)

20

i10Index(all)

38

i10Index(since 2020)

36

Email

University Profile Page

HEC Montréal

Google Scholar

View Google Scholar Profile

Erick Delage Skills & Research Interests

Decision making under uncertainty

robust optimization

stochastic programming

applied statistics

Top articles of Erick Delage

Title

Journal

Author(s)

Publication Date

Conformal Inverse Optimization

arXiv preprint arXiv:2402.01489

Bo Lin

Erick Delage

Timothy CY Chan

2024/2/2

A column generation scheme for distributionally robust multi-item newsvendor problems

INFORMS Journal on Computing

Shanshan Wang

Erick Delage

2024/1/3

A survey of contextual optimization methods for decision-making under uncertainty

Utsav Sadana

Abhilash Chenreddy

Erick Delage

Alexandre Forel

Emma Frejinger

...

2024/3/15

Data-driven stochastic vehicle routing problems with dead-lines

Les Cahiers du GERAD ISSN

Shanshan Wang

Erick Delage

Leandro C Coelho

2024/3

Crowdkeeping in last-mile delivery

Transportation Science

Xin Wang

Okan Arslan

Erick Delage

2024/2/29

On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes

Advances in Neural Information Processing Systems

Jia Lin Hau

Erick Delage

Mohammad Ghavamzadeh

Marek Petrik

2024/2/13

The value of randomized strategies in distributionally robust risk-averse network interdiction problems

INFORMS Journal on Computing

Utsav Sadana

Erick Delage

2023/1

A Double-oracle, Logic-based Benders decomposition approach to solve the K-adaptability problem

Computers & Operations Research

Alireza Ghahtarani

Ahmed Saif

Alireza Ghasemi

Erick Delage

2023/4

Robust data-driven prescriptiveness optimization

arXiv preprint arXiv:2306.05937

Mehran Poursoltani

Erick Delage

Angelos Georghiou

2023/6/9

Deep Reinforcement Learning for Risk Averse Sequential Decision Making Problems

Erick Delage

2023/6/4

Network Design for Ultra-fast Delivery Services via Probabilistic Envelope Constrained Programs

Available at SSRN 4672554

Xin Wang

Okan Arslan

Jean-François Cordeau

Erick Delage

2023/12/21

Deep Reinforcement Learning for Risk Averse Multi-stage Decision Making Problems

Erick Delage

2023/5/29

WaveCorr: Deep reinforcement learning with permutation invariant convolutional policy networks for portfolio management

Operations Research Letters

Saeed Marzban

Erick Delage

Jonathan Yu-Meng Li

Jeremie Desgagne-Bouchard

Carl Dussault

2023/11/1

On Dynamic Program Decompositions of Static Risk Measures

arXiv preprint arXiv:2304.12477

Jia Lin Hau

Erick Delage

Mohammad Ghavamzadeh

Marek Petrik

2023/4/24

Deep reinforcement learning for option pricing and hedging under dynamic expectile risk measures

Quantitative Finance

Saeed Marzban

Erick Delage

Jonathan Yu-Meng Li

2023/10/3

The value of randomized solutions in mixed-integer distributionally robust optimization problems

INFORMS Journal on Computing

Erick Delage

Ahmed Saif

2022/1

Robust integration of electric vehicles charging load in smart grid’s capacity expansion planning

Dynamic Games and Applications

Sajad Aliakbari Sani

Olivier Bahn

Erick Delage

Rinel Foguen Tchuendom

2022/9

Data-driven conditional robust optimization

Advances in Neural Information Processing Systems

Abhilash Reddy Chenreddy

Nymisha Bandi

Erick Delage

2022/12/6

Adjustable robust optimization reformulations of two-stage worst-case regret minimization problems

Operations Research

Mehran Poursoltani

Erick Delage

2022/9

Data-driven optimization with distributionally robust second order stochastic dominance constraints

Operations Research

Chun Peng

Erick Delage

2022/11/22

See List of Professors in Erick Delage University(HEC Montréal)

Co-Authors

H-index: 144
Andrew Ng

Andrew Ng

Stanford University

H-index: 91
Honglak Lee

Honglak Lee

University of Michigan

H-index: 85
Shie Mannor

Shie Mannor

Technion - Israel Institute of Technology

H-index: 82
Yinyu Ye

Yinyu Ye

Stanford University

H-index: 31
Wolfram Wiesemann

Wolfram Wiesemann

Imperial College London

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