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2003.00360
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Decision Trees for Decision-Making under the Predict-then-Optimize Framework
International Conference on Machine Learning (ICML), 2020
29 February 2020
Adam N. Elmachtoub
Jason Cheuk Nam Liang
Ryan McNellis
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Papers citing
"Decision Trees for Decision-Making under the Predict-then-Optimize Framework"
48 / 48 papers shown
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The Hidden Cost of Waiting for Accurate Predictions
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WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning
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Dario Paccagnan
Axel Parmentier
Maximilian Schiffer
186
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0
09 Oct 2024
Decision-Focused Evaluation of Worst-Case Distribution Shift
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Allocation Requires Prediction Only if Inequality Is Low
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245
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CF-OPT: Counterfactual Explanations for Structured Prediction
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28 May 2024
CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs
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Elias Boutros Khalil
293
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0
12 Dec 2023
Two-Stage Predict+Optimize for Mixed Integer Linear Programs with Unknown Parameters in Constraints
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Jasper C. H. Lee
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307
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14 Nov 2023
Rethinking and Benchmarking Predict-then-Optimize Paradigm for Combinatorial Optimization Problems
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Hang Ruan
Runzhong Wang
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Lei Chen
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368
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Learning Optimal Classification Trees Robust to Distribution Shifts
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26 Oct 2023
Conformal Contextual Robust Optimization
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Sahana Rayan
Ambuj Tewari
453
25
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16 Oct 2023
A predict-and-optimize approach to profit-driven churn prevention
European Journal of Operational Research (EJOR), 2023
Nuria Gómez-Vargas
Sebastián Maldonado
Carla Vairetti
256
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10 Oct 2023
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
Journal of Artificial Intelligence Research (JAIR), 2023
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James Kotary
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Maxime Mulamba
Víctor Bucarey
Tias Guns
Ferdinando Fioretto
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550
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25 Jul 2023
Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning
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Jayanta Mandi
Ali .Irfan Mahmutougullari
Maxime Mulamba
Tias Guns
M. Lombardi
244
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11 Jul 2023
A Survey of Contextual Optimization Methods for Decision Making under Uncertainty
European Journal of Operational Research (EJOR), 2023
Utsav Sadana
A. Chenreddy
Erick Delage
Alexandre Forel
Emma Frejinger
Thibaut Vidal
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430
177
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17 Jun 2023
Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective
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Henry Lam
Haofeng Zhang
Yunfan Zhao
475
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13 Apr 2023
Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming
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Chunlin Sun
Shang Liu
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270
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Explainable Data-Driven Optimization: From Context to Decision and Back Again
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Axel Parmentier
Thibaut Vidal
374
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24 Jan 2023
The intersection of machine learning with forecasting and optimisation: theory and applications
M. Abolghasemi
171
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24 Nov 2022
Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints
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Xinyi Hu
Jasper C. H. Lee
Jimmy Ho-man Lee
222
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08 Sep 2022
PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
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Bo Tang
Elias Boutros Khalil
266
50
0
28 Jun 2022
Distributionally Robust End-to-End Portfolio Construction
Giorgio Costa
G. Iyengar
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225
22
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10 Jun 2022
Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize
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Xinyi Hu
Jasper C. H. Lee
Jimmy Ho-man Lee
Allen Z. Zhong
129
7
0
01 May 2022
Gradient boosting for convex cone predict and optimize problems
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A. Butler
R. Kwon
216
2
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14 Apr 2022
SimPO: Simultaneous Prediction and Optimization
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Bing Zhang
Yuya Jeremy Ong
Taiga Nakamura
260
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31 Mar 2022
An end-to-end predict-then-optimize clustering method for intelligent assignment problems in express systems
Jinlei Zhang
Ergang Shan
Lixia Wu
Lixing Yang
Ziyou Gao
Haoyuan Hu
153
6
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18 Feb 2022
Convex Surrogate Loss Functions for Contextual Pricing with Transaction Data
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316
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0
16 Feb 2022
Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health
AAAI Conference on Artificial Intelligence (AAAI), 2022
Kai Wang
Shresth Verma
Aditya Mate
Sanket Shah
Aparna Taneja
N. Madhiwalla
Aparna Hegde
Milind Tambe
285
17
0
02 Feb 2022
Learning Optimal Fair Classification Trees: Trade-offs Between Interpretability, Fairness, and Accuracy
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2022
Nathanael Jo
S. Aghaei
A. Gómez
P. Vayanos
FaML
565
29
0
24 Jan 2022
Prescriptive Machine Learning for Automated Decision Making: Challenges and Opportunities
Eyke Hüllermeier
150
8
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15 Dec 2021
Efficient differentiable quadratic programming layers: an ADMM approach
A. Butler
R. Kwon
237
31
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14 Dec 2021
Integrated Conditional Estimation-Optimization
Sirui Chen
Paul Grigas
Zuo‐Jun Max Shen
CML
377
33
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24 Oct 2021
Predictive machine learning for prescriptive applications: a coupled training-validating approach
Knowledge-Based Systems (KBS), 2021
E. Mortaz
A. Vinel
148
3
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22 Oct 2021
Learning Optimal Prescriptive Trees from Observational Data
Nathanael Jo
S. Aghaei
Andrés Gómez
P. Vayanos
317
23
0
31 Aug 2021
Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters
INFORMS Journal on Data Science (INFORMS J. Data Sci.), 2021
Carlos Fernández-Loría
F. Provost
CML
384
57
0
08 Apr 2021
Contrastive Losses and Solution Caching for Predict-and-Optimize
Maxime Mulamba
Jayanta Mandi
Michelangelo Diligenti
M. Lombardi
Víctor Bucarey
Tias Guns
525
70
0
10 Nov 2020
Fast Rates for Contextual Linear Optimization
Yichun Hu
Nathan Kallus
Xiaojie Mao
OffRL
554
58
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05 Nov 2020
Optimal Decision Trees for Nonlinear Metrics
AAAI Conference on Artificial Intelligence (AAAI), 2020
Emir Demirović
Peter Stuckey
427
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Stochastic Optimization Forests
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Xiaojie Mao
465
62
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MurTree: Optimal Classification Trees via Dynamic Programming and Search
Journal of machine learning research (JMLR), 2020
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Anna Lukina
E. Hébrard
Jeffrey Chan
James Bailey
C. Leckie
K. Ramamohanarao
Peter Stuckey
543
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Model Distillation for Revenue Optimization: Interpretable Personalized Pricing
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Wei-Ju Sun
M. Ettl
406
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A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation
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424
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Generalization Bounds in the Predict-then-Optimize Framework
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Othman El Balghiti
Adam N. Elmachtoub
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336
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