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Machine Learning for Combinatorial Optimisation of Partially-Specified
  Problems: Regret Minimisation as a Unifying Lens

Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens

20 May 2022
Stefano Teso
Laurens Bliek
Andrea Borghesi
M. Lombardi
Neil Yorke-Smith
Tias Guns
Andrea Passerini
ArXivPDFHTML

Papers citing "Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens"

4 / 4 papers shown
Title
Sufficient Decision Proxies for Decision-Focused Learning
Sufficient Decision Proxies for Decision-Focused Learning
Noah Schutte
Grigorii Veviurko
Krzysztof Postek
Neil Yorke-Smith
34
0
0
06 May 2025
Finding Backdoors to Integer Programs: A Monte Carlo Tree Search
  Framework
Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework
Elias Boutros Khalil
Pashootan Vaezipoor
B. Dilkina
53
18
0
16 Oct 2021
Max-value Entropy Search for Efficient Bayesian Optimization
Max-value Entropy Search for Efficient Bayesian Optimization
Zi Wang
Stefanie Jegelka
110
403
0
06 Mar 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
240
1,837
0
03 Feb 2017
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