Jan Kronqvist

According to our database, Jan Kronqvist authored at least 25 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

On Optimizing Ensemble Models using Column Generation.

Vanya Aziz, Ouyang Wu, Ivo Nowak, Eligius M. T. Hendrix, Jan Kronqvist

J. Optim. Theory Appl., November, 2024

A constrained optimization approach to improve robustness of neural networks.

Shudian Zhao, Jan Kronqvist

CoRR, 2024

A GPU-Accelerated Bi-linear ADMM Algorithm for Distributed Sparse Machine Learning.

Alireza Olama, Andreas Lundell, Jan Kronqvist, Elham Ahmadi, Eduardo Camponogara

CoRR, 2024

A cutting plane algorithm for globally solving low dimensional k-means clustering problems.

Martin Ryner, Jan Kronqvist, Johan Karlsson

CoRR, 2024

2023

Sparse convex optimization toolkit: a mixed-integer framework.

Alireza Olama, Eduardo Camponogara, Jan Kronqvist

Optim. Methods Softw., November, 2023

Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces.

Martin Ryner, Jan Kronqvist, Johan Karlsson

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Alternating Mixed-Integer Programming and Neural Network Training for Approximating Stochastic Two-Stage Problems.

Jan Kronqvist, Boda Li, Jan Rolfes, Shudian Zhao

Proceedings of the Machine Learning, Optimization, and Data Science, 2023

Model-Based Feature Selection for Neural Networks: A Mixed-Integer Programming Approach.

Shudian Zhao, Calvin Tsay, Jan Kronqvist

Proceedings of the Learning and Intelligent Optimization - 17th International Conference, 2023

2022

The supporting hyperplane optimization toolkit for convex MINLP.

Andreas Lundell, Jan Kronqvist, Tapio Westerlund

J. Glob. Optim., 2022

Polyhedral approximation strategies for nonconvex mixed-integer nonlinear programming in SHOT.

Andreas Lundell, Jan Kronqvist

J. Glob. Optim., 2022

Alternative regularizations for Outer-Approximation algorithms for convex MINLP.

David E. Bernal, Zedong Peng, Jan Kronqvist, Ignacio E. Grossmann

J. Glob. Optim., 2022

P-split formulations: A class of intermediate formulations between big-M and convex hull for disjunctive constraints.

Jan Kronqvist, Ruth Misener, Calvin Tsay

CoRR, 2022

Maximizing information from chemical engineering data sets: Applications to machine learning.

Alexander Thebelt, Johannes Wiebe, Jan Kronqvist, Calvin Tsay, Ruth Misener

CoRR, 2022

Simulation-based optimization of distillation processes using an extended cutting plane algorithm.

Juan Javaloyes-Anton, Jan Kronqvist, José Antonio Caballero

Comput. Chem. Eng., 2022

2021

ENTMOOT: A framework for optimization over ensemble tree models.

Alexander Thebelt, Jan Kronqvist, Miten Mistry, Robert M. Lee, Nathan Sudermann-Merx, Ruth Misener

Comput. Chem. Eng., 2021

Partition-Based Formulations for Mixed-Integer Optimization of Trained ReLU Neural Networks.

Calvin Tsay, Jan Kronqvist, Alexander Thebelt, Ruth Misener

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Between Steps: Intermediate Relaxations Between Big-M and Convex Hull Formulations.

Jan Kronqvist, Ruth Misener, Calvin Tsay

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2021

2020

Using regularization and second order information in outer approximation for convex MINLP.

Jan Kronqvist, David E. Bernal, Ignacio E. Grossmann

Math. Program., 2020

Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis.

Elena Botoeva, Panagiotis Kouvaros, Jan Kronqvist, Alessio Lomuscio, Ruth Misener

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A center-cut algorithm for quickly obtaining feasible solutions and solving convex MINLP problems.

Jan Kronqvist, David E. Bernal, Andreas Lundell, Tapio Westerlund

Comput. Chem. Eng., 2019

On Solving Nonconvex MINLP Problems with SHOT.

Andreas Lundell, Jan Kronqvist

Proceedings of the Optimization of Complex Systems: Theory, 2019

2018

Reformulations for utilizing separability when solving convex MINLP problems.

Jan Kronqvist, Andreas Lundell, Tapio Westerlund

J. Glob. Optim., 2018

Structural learning in artificial neural networks using sparse optimization.

Mikael Manngård, Jan Kronqvist, Jari M. Böling

Neurocomputing, 2018

2017

Method for solving generalized convex nonsmooth mixed-integer nonlinear programming problems.

Ville-Pekka Eronen, Jan Kronqvist, Tapio Westerlund, Marko M. Mäkelä, Napsu Karmitsa

J. Glob. Optim., 2017

2016

The extended supporting hyperplane algorithm for convex mixed-integer nonlinear programming.

Jan Kronqvist, Andreas Lundell, Tapio Westerlund

J. Glob. Optim., 2016