Jacob Lindbäck

Joined

January 2022

Names

Jacob Lindbäck (Preferred)

Emails

****@kth.se (Confirmed)

Personal Links

Career & Education History

PhD student

KTH Royal Institute of Technology (kth.se)

2020 – 2025

Advisors, Relations & Conflicts

Coworker

2023 – 2025

Coworker

2023 – 2025

Coworker

2021 – 2025

PhD Advisor

Mikael Johansson

2020 – 2025

Coworker

2020 – 2025

Expertise

optimization

Present

optimal transport

Present

machine learning

Present

Publications

Three-operator splitting with stale gradients for faster non-linear optimal transport
Jacob Lindbäck, David Alvarez-Melis, Mikael Johansson
- AISTATS 2026 Poster
- Readers: Everyone
Graph-theoretic perspectives on splitting methods for sparse optimal transport
Jacob Lindbäck, Mikael Johansson
- NeurIPS 2025 Workshop
- Readers: Everyone
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs
Jacob Lindbäck, Zesen Wang, Mikael Johansson
- NeurIPS 2023 poster
- Readers: Everyone
A fast and accurate splitting method for optimal transport: analysis and implementation
Vien V. Mai, Jacob Lindbäck, Mikael Johansson
- Published: 01 Jan 2022, Last Modified: 11 May 2023
- ICLR 2022
- Readers: Everyone

Co-Authors