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2307.13565
Cited By
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
25 July 2023
Jayanta Mandi
James Kotary
Senne Berden
Maxime Mulamba
Víctor Bucarey
Tias Guns
Ferdinando Fioretto
AI4CE
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Papers citing
"Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities"
23 / 23 papers shown
Title
Semi-Decision-Focused Learning with Deep Ensembles: A Practical Framework for Robust Portfolio Optimization
Juhyeong Kim
137
0
0
16 Mar 2025
Preference-Based Gradient Estimation for ML-Guided Approximate Combinatorial Optimization
Arman Mielke
Uwe Bauknecht
Thilo Strauss
Mathias Niepert
105
0
0
26 Feb 2025
Global-Decision-Focused Neural ODEs for Proactive Grid Resilience Management
Shuyi Chen
Ferdinando Fioretto
Feng Qiu
Shixiang Zhu
123
2
0
25 Feb 2025
Offline Model-Based Optimization by Learning to Rank
Rong-Xi Tan
Ke Xue
Shen-Huan Lyu
Haopu Shang
Yao Wang
Yaoyuan Wang
Sheng Fu
Chao Qian
OffRL
94
3
0
15 Oct 2024
Backpropagation of Unrolled Solvers with Folded Optimization
James Kotary
M. H. Dinh
Ferdinando Fioretto
57
15
0
28 Jan 2023
Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints
Xinyi Hu
Jasper C. H. Lee
Jimmy Ho-man Lee
64
17
0
08 Sep 2022
Learning with Combinatorial Optimization Layers: a Probabilistic Approach
Guillaume Dalle
Léo Baty
Louis Bouvier
Axel Parmentier
AI4CE
44
36
0
27 Jul 2022
Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP
Jayanta Mandi
Rocsildes Canoy
Víctor Bucarey
Tias Guns
29
7
0
10 Aug 2021
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
Mathias Niepert
Pasquale Minervini
Luca Franceschi
57
85
0
03 Jun 2021
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
40
10
0
26 Feb 2021
Contrastive Losses and Solution Caching for Predict-and-Optimize
Maxime Mulamba
Jayanta Mandi
Michelangelo Diligenti
M. Lombardi
Víctor Bucarey
Tias Guns
86
50
0
10 Nov 2020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing
V. Monga
Yuelong Li
Yonina C. Eldar
97
1,021
0
22 Dec 2019
Learning Dense Representations for Entity Retrieval
D. Gillick
Sayali Kulkarni
L. Lansing
Alessandro Presta
Jason Baldridge
Eugene Ie
Diego Garcia-Olano
RALM
71
207
0
23 Sep 2019
MIPaaL: Mixed Integer Program as a Layer
Aaron Ferber
Bryan Wilder
B. Dilkina
Milind Tambe
52
146
0
12 Jul 2019
The Limited Multi-Label Projection Layer
Brandon Amos
V. Koltun
J. Zico Kolter
56
36
0
20 Jun 2019
End to end learning and optimization on graphs
Bryan Wilder
Eric Ewing
B. Dilkina
Milind Tambe
GNN
56
107
0
31 May 2019
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver
Po-Wei Wang
P. Donti
Bryan Wilder
Zico Kolter
LRM
NAI
76
262
0
29 May 2019
Deep Inverse Optimization
Yingcong Tan
Andrew Delong
Daria Terekhov
50
22
0
03 Dec 2018
Deep Learning using Rectified Linear Units (ReLU)
Abien Fred Agarap
58
3,223
0
22 Mar 2018
OptNet: Differentiable Optimization as a Layer in Neural Networks
Brandon Amos
J. Zico Kolter
156
961
0
01 Mar 2017
Automatic differentiation in machine learning: a survey
A. G. Baydin
Barak A. Pearlmutter
Alexey Radul
J. Siskind
PINN
AI4CE
ODL
156
2,803
0
20 Feb 2015
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
271
19,049
0
20 Dec 2014
A Fast and Simple Algorithm for Training Neural Probabilistic Language Models
A. Mnih
Yee Whye Teh
161
578
0
27 Jun 2012
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