ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2206.14234
  4. Cited By
PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for
  Linear and Integer Programming
v1v2 (latest)

PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming

Mathematical Programming Computation (MPC), 2022
28 June 2022
Bo Tang
Elias Boutros Khalil
ArXiv (abs)PDFHTMLGithub (533★)

Papers citing "PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming"

15 / 15 papers shown
Decision-Focused Learning Enhanced by Automated Feature Engineering for Energy Storage Optimisation
Decision-Focused Learning Enhanced by Automated Feature Engineering for Energy Storage Optimisation
Nasser Alkhulaifi
Ismail Gokay Dogan
Timothy Cargan
Alexander L. Bowler
Direnc Pekaslan
Nicholas J. Watson
I. Triguero
111
0
0
06 Sep 2025
Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints
Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints
H. Im
Wyame Benslimane
Paul Grigas
157
0
0
28 May 2025
The Differentiable Feasibility Pump
The Differentiable Feasibility PumpConference on Integer Programming and Combinatorial Optimization (IPCO), 2024
M. Cacciola
Alexandre Forel
A. Frangioni
Andrea Lodi
323
0
0
05 Nov 2024
Decision-Focused Evaluation of Worst-Case Distribution Shift
Decision-Focused Evaluation of Worst-Case Distribution Shift
Kevin Ren
Yewon Byun
Bryan Wilder
OffRL
245
3
0
04 Jul 2024
First-Order Methods for Linearly Constrained Bilevel Optimization
First-Order Methods for Linearly Constrained Bilevel Optimization
Guy Kornowski
Swati Padmanabhan
Kai Wang
Zhe Zhang
S. Sra
397
11
0
18 Jun 2024
DataSP: A Differential All-to-All Shortest Path Algorithm for Learning
  Costs and Predicting Paths with Context
DataSP: A Differential All-to-All Shortest Path Algorithm for Learning Costs and Predicting Paths with Context
Alan A. Lahoud
Erik Schaffernicht
J. A. Stork
155
5
0
08 May 2024
Decision-focused predictions via pessimistic bilevel optimization: a
  computational study
Decision-focused predictions via pessimistic bilevel optimization: a computational study
Víctor Bucarey
Sophia Calderón
Gonzalo Munoz
Frédéric Semet
204
0
0
29 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 ProgramsIntegration of AI and OR Techniques in Constraint Programming (CPAIOR), 2023
Bo Tang
Elias Boutros Khalil
253
5
0
12 Dec 2023
Robust Losses for Decision-Focused Learning
Robust Losses for Decision-Focused LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Noah Schutte
Krzysztof Postek
Neil Yorke-Smith
288
6
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 OpportunitiesJournal of Artificial Intelligence Research (JAIR), 2023
Jayanta Mandi
James Kotary
Senne Berden
Maxime Mulamba
Víctor Bucarey
Tias Guns
Ferdinando Fioretto
AI4CE
475
132
0
25 Jul 2023
Landscape Surrogate: Learning Decision Losses for Mathematical
  Optimization Under Partial Information
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial InformationNeural Information Processing Systems (NeurIPS), 2023
Arman Zharmagambetov
Brandon Amos
Aaron Ferber
Taoan Huang
B. Dilkina
Yuandong Tian
AI4CE
239
20
0
18 Jul 2023
A Survey of Contextual Optimization Methods for Decision Making under
  Uncertainty
A Survey of Contextual Optimization Methods for Decision Making under UncertaintyEuropean Journal of Operational Research (EJOR), 2023
Utsav Sadana
A. Chenreddy
Erick Delage
Alexandre Forel
Emma Frejinger
Thibaut Vidal
AI4CE
344
154
0
17 Jun 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
Henry Lam
Haofeng Zhang
Yunfan Zhao
418
11
0
13 Apr 2023
Towards Improving Unit Commitment Economics: An Add-On Tailor for
  Renewable Energy and Reserve Predictions
Towards Improving Unit Commitment Economics: An Add-On Tailor for Renewable Energy and Reserve PredictionsIEEE Transactions on Sustainable Energy (IEEE Trans. Sustain. Energy), 2022
Xianbang Chen
Yikui Liu
Lei Wu
283
22
0
27 Aug 2022
Learning with Combinatorial Optimization Layers: a Probabilistic
  Approach
Learning with Combinatorial Optimization Layers: a Probabilistic Approach
Guillaume Dalle
Léo Baty
Louis Bouvier
Axel Parmentier
AI4CE
310
45
0
27 Jul 2022
1
Page 1 of 1