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07/06/2023
LEO: Learning Efficient Orderings for Multiobjective Binary Decision Diagrams
Approaches based on Binary decision diagrams (BDDs) have recently achiev...
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06/01/2023
Fast Matrix Multiplication Without Tears: A Constraint Programming Approach
It is known that the multiplication of an N × M matrix with an M × P mat...
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05/26/2023
LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations
Can a Large Language Model (LLM) solve simple abstract reasoning problem...
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02/17/2023
Machine Learning for Cutting Planes in Integer Programming: A Survey
We survey recent work on machine learning (ML) techniques for selecting ...
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12/10/2022
Walkability Optimization: Formulations, Algorithms, and a Case Study of Toronto
The concept of walkable urban development has gained increased attention...
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10/18/2022
Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus
The Abstraction and Reasoning Corpus (ARC) aims at benchmarking the perf...
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06/30/2022
Lookback for Learning to Branch
The expressive and computationally inexpensive bipartite Graph Neural Ne...
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06/28/2022
PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
In deterministic optimization, it is typically assumed that all paramete...
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06/03/2022
A Deep Reinforcement Learning Framework For Column Generation
Column Generation (CG) is an iterative algorithm for solving linear prog...
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05/27/2022
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers
Mixed-integer programming (MIP) technology offers a generic way of formu...
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05/20/2022
Neur2SP: Neural Two-Stage Stochastic Programming
Stochastic programming is a powerful modeling framework for decision-mak...
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10/16/2021
Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework
In Mixed Integer Linear Programming (MIP), a (strong) backdoor is a "sma...
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09/21/2021
Deep Policies for Online Bipartite Matching: A Reinforcement Learning Approach
From assigning computing tasks to servers and advertisements to users, s...
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03/18/2021
Learning to Schedule Heuristics in Branch-and-Bound
Primal heuristics play a crucial role in exact solvers for Mixed Integer...
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06/26/2020
Hybrid Models for Learning to Branch
A recent Graph Neural Network (GNN) approach for learning to branch has ...
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10/08/2018
Combinatorial Attacks on Binarized Neural Networks
Binarized Neural Networks (BNNs) have recently attracted significant int...
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04/05/2017
