Maximilian Thiessen

23 papers A* 9B 2Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning Conditional Averages.
CoRR
Marco Bressan, Nataly Brukhim, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen
2025 A* conf
A Fine-grained Characterization of PAC Learnability.
COLT
Marco Bressan, Nataly Brukhim, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen
2025 J jnl
Efficient Algorithms for Learning and Compressing Monophonic Halfspaces in Graphs.
CoRR
Marco Bressan, Victor Chepoi, Emmanuel Esposito, Maximilian Thiessen
2025 J jnl
Maximally Expressive GNNs for Outerplanar Graphs.
Trans. Mach. Learn. Res.
Franka Bause, Fabian Jogl, Patrick Indri, Tamara Drucks, David Penz, Nils Morten Kriege, Thomas Gärtner, Pascal Welke, Maximilian Thiessen
2025 A* conf
Of Dice and Games: A Theory of Generalized Boosting.
COLT
Marco Bressan, Nataly Brukhim, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen
2025 B conf
Self-Directed Node Classification on Graphs.
ALT
Georgy Sokolov, Maximilian Thiessen, Margarita Akhmejanova, Fabio Vitale, Francesco Orabona
2024 A* conf
A Theory of Interpretable Approximations.
COLT
Marco Bressan, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen
2024 J jnl
A Theory of Interpretable Approximations.
CoRR
Marco Bressan, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen
2024 A* conf
Bandits with Abstention under Expert Advice.
NeurIPS
Stephen Pasteris, Alberto Rumi, Maximilian Thiessen, Shota Saito, Atsushi Miyauchi, Fabio Vitale, Mark Herbster
2024 J jnl
Bandits with Abstention under Expert Advice.
CoRR
Stephen Pasteris, Alberto Rumi, Maximilian Thiessen, Shota Saito, Atsushi Miyauchi, Fabio Vitale, Mark Herbster
2024 A* conf
Efficient Algorithms for Learning Monophonic Halfspaces in Graphs.
COLT
Marco Bressan, Emmanuel Esposito, Maximilian Thiessen
2024 J jnl
Efficient Algorithms for Learning Monophonic Halfspaces in Graphs.
CoRR
Marco Bressan, Emmanuel Esposito, Maximilian Thiessen
2024 J jnl
Of Dice and Games: A Theory of Generalized Boosting.
CoRR
Marco Bressan, Nataly Brukhim, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen
2024 J jnl
Self-Directed Learning of Convex Labelings on Graphs.
CoRR
Georgy Sokolov, Maximilian Thiessen, Margarita Akhmejanova, Fabio Vitale, Francesco Orabona
2023 A* conf
Expectation-Complete Graph Representations with Homomorphisms.
ICML
Pascal Welke, Maximilian Thiessen, Fabian Jogl, Thomas Gärtner
2023 J jnl
Expectation-Complete Graph Representations with Homomorphisms.
CoRR
Pascal Welke, Maximilian Thiessen, Fabian Jogl, Thomas Gärtner
2023 A* conf
Expressivity-Preserving GNN Simulation.
NeurIPS
Fabian Jogl, Maximilian Thiessen, Thomas Gärtner
2022 A* conf
Active Learning of Classifiers with Label and Seed Queries.
NeurIPS
Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice, Maximilian Thiessen
2022 J jnl
Active Learning of Classifiers with Label and Seed Queries.
CoRR
Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice, Maximilian Thiessen
2022 J jnl
Generalized Laplacian Positional Encoding for Graph Representation Learning.
CoRR
Sohir Maskey, Ali Parviz, Maximilian Thiessen, Hannes Stärk, Ylli Sadikaj, Haggai Maron
2022 — conf
Online Learning of Convex Sets on Graphs.
ECML/PKDD (4)
Maximilian Thiessen, Thomas Gärtner
2021 A* conf
Active Learning of Convex Halfspaces on Graphs.
NeurIPS
Maximilian Thiessen, Thomas Gärtner
2020 B conf
Improving a Branch-and-Bound Approach for the Degree-Constrained Minimum Spanning Tree Problem with LKH.
CPAIOR
Maximilian Thiessen, Luis Quesada, Kenneth N. Brown