Citation Impact
Citing Papers
A comprehensive survey on safe reinforcement learning
2015 Standout
Robustness and risk-sensitivity in Markov decision processes
2012
Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds
2012
Bayesian Reinforcement Learning: A Survey
2015
Supply chain network design under uncertainty: A comprehensive review and future research directions
2017
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case
2020 Standout
The Robust Capacitated Vehicle Routing Problem Under Demand Uncertainty
2013
Adoption of O2O food delivery services in South Korea: The moderating role of moral obligation in meal preparation
2018 Standout
Data-Driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations
2017
Nominal and robust train timetabling problems
2011 Standout
Risk assessment and risk management: Review of recent advances on their foundation
2015 Standout
Recent advances in robust optimization: An overview
2013
Robust Sourcing from Suppliers under Ambiguously Correlated Major Disruption Risks
2018
The Big Data, Artificial Intelligence, and Blockchain in True Cost Accounting for Energy Transition in Europe
2022
Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm
2021 Standout
Worst-case demand distributions in vehicle routing
2016
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
2021 Standout
Solving two-stage robust optimization problems using a column-and-constraint generation method
2013 Standout
The vehicle routing problem: State of the art classification and review
2015 Standout
Prediction Markets – A literature review 2014
2014
Optimal Stochastic Coordinated Beamforming for Wireless Cooperative Networks With CSI Uncertainty
2014
How does the digital economy improve high-quality energy development? The case of China
2022 Standout
Optimization under uncertainty in the era of big data and deep learning: When machine learning meets mathematical programming
2019
Evaluating replicability of laboratory experiments in economics
2016 StandoutScience
Theory and Applications of Robust Optimization
2011 Standout
Works of Erick Delage being referenced
Robust Partitioning for Stochastic Multivehicle Routing
2013
Robust Enough? Exploring Temperature-Constrained Energy Transition Pathways under Climate Uncertainty
2021
Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems
2010
Distributionally Robust Stochastic Knapsack Problem
2014
Percentile Optimization for Markov Decision Processes with Parameter Uncertainty
2009
A Unified Framework for Dynamic Prediction Market Design
2011