Tomás Dlask

Orcid: 0000-0002-1944-6569

According to our database1, Tomás Dlask authored at least 14 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Projection methods for finding the greatest element of the intersection of max-closed convex sets.
Ann. Oper. Res., September, 2024

Using Constraint Propagation to Bound Linear Programs.
J. Artif. Intell. Res., 2024

2023
Relative-Interior Solution for (Incomplete) Linear Assignment Problem with Applications to Quadratic Assignment Problem.
CoRR, 2023

Super-reparametrizations of weighted CSPs: properties and optimization perspective.
Constraints An Int. J., 2023

Activity propagation in systems of linear inequalities and its relation to block-coordinate descent in linear programs.
Constraints An Int. J., 2023

Block-coordinate descent and local consistencies in linear programming.
Constraints An Int. J., 2023

2022
Classes of linear programs solvable by coordinate-wise minimization.
Ann. Math. Artif. Intell., 2022

2021
Bounds on Weighted CSPs Using Constraint Propagation and Super-Reparametrizations.
Proceedings of the 27th International Conference on Principles and Practice of Constraint Programming, 2021

2020
Unit Propagation by Means of Coordinate-Wise Minimization.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

A Class of Linear Programs Solvable by Coordinate-Wise Minimization.
Proceedings of the Learning and Intelligent Optimization - 14th International Conference, 2020

On Coordinate-Wise Minimization Applied to General Convex Optimization Problems.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

Relative Interior Rule in Block-Coordinate Descent.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

On Relation Between Constraint Propagation and Block-Coordinate Descent in Linear Programs.
Proceedings of the Principles and Practice of Constraint Programming, 2020

Bounding Linear Programs by Constraint Propagation: Application to Max-SAT.
Proceedings of the Principles and Practice of Constraint Programming, 2020


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