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A Survey of Contextual Optimization Methods for Decision Making under
  Uncertainty

A Survey of Contextual Optimization Methods for Decision Making under Uncertainty

17 June 2023
Utsav Sadana
A. Chenreddy
Erick Delage
Alexandre Forel
Emma Frejinger
Thibaut Vidal
    AI4CE
ArXivPDFHTML

Papers citing "A Survey of Contextual Optimization Methods for Decision Making under Uncertainty"

35 / 35 papers shown
Title
Primal-dual algorithm for contextual stochastic combinatorial optimization
Primal-dual algorithm for contextual stochastic combinatorial optimization
Louis Bouvier
Thibault Prunet
Vincent Leclère
Axel Parmentier
28
0
0
07 May 2025
Sufficient Decision Proxies for Decision-Focused Learning
Sufficient Decision Proxies for Decision-Focused Learning
Noah Schutte
Grigorii Veviurko
Krzysztof Postek
Neil Yorke-Smith
29
0
0
06 May 2025
Learn to Bid as a Price-Maker Wind Power Producer
Learn to Bid as a Price-Maker Wind Power Producer
Shobhit Singhal
Marta Fochesato
Liviu Aolaritei
Florian Dorfler
55
0
0
20 Mar 2025
Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation
Marianne Defresne
Jayanta Mandi
Tias Guns
41
0
0
14 Mar 2025
Enhanced Route Planning with Calibrated Uncertainty Set
Lingxuan Tang
Rui Luo
Zhixin Zhou
Nicolo Colombo
42
1
0
13 Mar 2025
Contextual Scenario Generation for Two-Stage Stochastic Programming
David Islip
Roy H. Kwon
Sanghyeon Bae
Woo Chang Kim
56
0
0
07 Feb 2025
The Differentiable Feasibility Pump
The Differentiable Feasibility Pump
M. Cacciola
Alexandre Forel
A. Frangioni
Andrea Lodi
29
0
0
05 Nov 2024
Forecasting Outside the Box: Application-Driven Optimal Pointwise
  Forecasts for Stochastic Optimization
Forecasting Outside the Box: Application-Driven Optimal Pointwise Forecasts for Stochastic Optimization
Tito Homem-de-Mello
Juan Valencia
Felipe Lagos
Guido Lagos
21
1
0
05 Nov 2024
Evaluation of Prosumer Networks for Peak Load Management in Iran: A
  Distributed Contextual Stochastic Optimization Approach
Evaluation of Prosumer Networks for Peak Load Management in Iran: A Distributed Contextual Stochastic Optimization Approach
Amir Noori
Babak Tavassoli
Alireza Fereidunian
18
0
0
31 Aug 2024
Generalization Bounds of Surrogate Policies for Combinatorial
  Optimization Problems
Generalization Bounds of Surrogate Policies for Combinatorial Optimization Problems
Pierre-Cyril Aubin-Frankowski
Yohann de Castro
Axel Parmentier
Alessandro Rudi
OffRL
27
3
0
24 Jul 2024
Is Cross-Validation the Gold Standard to Evaluate Model Performance?
Is Cross-Validation the Gold Standard to Evaluate Model Performance?
Garud Iyengar
Henry Lam
Tianyu Wang
36
0
0
03 Jul 2024
Differentiable Distributionally Robust Optimization Layers
Differentiable Distributionally Robust Optimization Layers
Xutao Ma
Chao Ning
Wenli Du
37
3
0
24 Jun 2024
Generative Conditional Distributions by Neural (Entropic) Optimal
  Transport
Generative Conditional Distributions by Neural (Entropic) Optimal Transport
Bao Nguyen
Binh Nguyen
Hieu Trung Nguyen
Viet Anh Nguyen
OT
42
1
0
04 Jun 2024
CF-OPT: Counterfactual Explanations for Structured Prediction
CF-OPT: Counterfactual Explanations for Structured Prediction
Germain Vivier--Ardisson
Alexandre Forel
Axel Parmentier
Thibaut Vidal
OffRL
CML
BDL
35
1
0
28 May 2024
Contextual Linear Optimization with Bandit Feedback
Contextual Linear Optimization with Bandit Feedback
Yichun Hu
Nathan Kallus
Xiaojie Mao
Yanchen Wu
29
0
0
26 May 2024
A Functional Model Method for Nonconvex Nonsmooth Conditional Stochastic
  Optimization
A Functional Model Method for Nonconvex Nonsmooth Conditional Stochastic Optimization
Andrzej Ruszczyñski
Shangzhe Yang
24
0
0
17 May 2024
End-to-end Conditional Robust Optimization
End-to-end Conditional Robust Optimization
A. Chenreddy
Erick Delage
25
9
0
07 Mar 2024
Contextual Stochastic Vehicle Routing with Time Windows
Contextual Stochastic Vehicle Routing with Time Windows
Breno Serrano
Alexandre M. Florio
Stefan Minner
Maximilian Schiffer
Thibaut Vidal
13
0
0
10 Feb 2024
Towards a Systems Theory of Algorithms
Towards a Systems Theory of Algorithms
Florian Dorfler
Zhiyu He
Giuseppe Belgioioso
S. Bolognani
John Lygeros
Michael Muehlebach
AI4CE
25
10
0
25 Jan 2024
Learning Lagrangian Multipliers for the Travelling Salesman Problem
Learning Lagrangian Multipliers for the Travelling Salesman Problem
Augustin Parjadis
Quentin Cappart
B. Dilkina
Aaron Ferber
Louis-Martin Rousseau
37
1
0
22 Dec 2023
Learning Deterministic Surrogates for Robust Convex QCQPs
Learning Deterministic Surrogates for Robust Convex QCQPs
Egon Persak
Miguel F. Anjos
26
2
0
19 Dec 2023
CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary
  Linear Programs
CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs
Bo Tang
Elias Boutros Khalil
24
1
0
12 Dec 2023
TaskMet: Task-Driven Metric Learning for Model Learning
TaskMet: Task-Driven Metric Learning for Model Learning
Dishank Bansal
Ricky T. Q. Chen
Mustafa Mukadam
Brandon Amos
FedML
20
10
0
08 Dec 2023
Contextual Stochastic Bilevel Optimization
Contextual Stochastic Bilevel Optimization
Yifan Hu
Jie Wang
Yao Xie
Andreas Krause
Daniel Kuhn
32
11
0
27 Oct 2023
Conformal Contextual Robust Optimization
Conformal Contextual Robust Optimization
Yash P. Patel
Sahana Rayan
Ambuj Tewari
27
15
0
16 Oct 2023
Robust Losses for Decision-Focused Learning
Robust Losses for Decision-Focused Learning
Noah Schutte
Krzysztof Postek
Neil Yorke-Smith
28
4
0
06 Oct 2023
Decision-Focused Learning: Foundations, State of the Art, Benchmark and
  Future Opportunities
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
Jayanta Mandi
James Kotary
Senne Berden
Maxime Mulamba
Víctor Bucarey
Tias Guns
Ferdinando Fioretto
AI4CE
24
54
0
25 Jul 2023
Electricity Price Prediction for Energy Storage System Arbitrage: A
  Decision-focused Approach
Electricity Price Prediction for Energy Storage System Arbitrage: A Decision-focused Approach
Linwei Sang
Yinliang Xu
Huan Long
Qinran Hu
Hongbin Sun
16
29
0
30 Apr 2023
Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus
  Sample Average Approximation: A Stochastic Dominance Perspective
Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective
Adam N. Elmachtoub
H. Lam
Haofeng Zhang
Yunfan Zhao
16
6
0
13 Apr 2023
Alternating Differentiation for Optimization Layers
Alternating Differentiation for Optimization Layers
Haixiang Sun
Ye Shi
Jingya Wang
H. Tuan
H. Vincent Poor
Dacheng Tao
ODL
35
14
0
03 Oct 2022
PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for
  Linear and Integer Programming
PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
Bo Tang
Elias Boutros Khalil
13
30
0
28 Jun 2022
Optimization with Constraint Learning: A Framework and Survey
Optimization with Constraint Learning: A Framework and Survey
Adejuyigbe O. Fajemisin
Donato Maragno
D. Hertog
50
46
0
05 Oct 2021
Application-Driven Learning: A Closed-Loop Prediction and Optimization
  Approach Applied to Dynamic Reserves and Demand Forecasting
Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting
J. Garcia
A. Street
Tito Homem-de-Mello
F. Muñoz
17
10
0
26 Feb 2021
Heteroscedasticity-aware residuals-based contextual stochastic
  optimization
Heteroscedasticity-aware residuals-based contextual stochastic optimization
R. Kannan
G. Bayraksan
James R. Luedtke
23
11
0
08 Jan 2021
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,672
0
28 Feb 2017
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