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2020 – today
- 2024
[c8]Marco Bressan, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen:
A Theory of Interpretable Approximations. COLT 2024: 648-668- [c7]Marco Bressan, Emmanuel Esposito, Maximilian Thiessen:
Efficient Algorithms for Learning Monophonic Halfspaces in Graphs. COLT 2024: 669-696 - [i7]Stephen Pasteris, Alberto Rumi, Maximilian Thiessen
, Shota Saito, Atsushi Miyauchi, Fabio Vitale, Mark Herbster:
Bandits with Abstention under Expert Advice. CoRR abs/2402.14585 (2024) - [i6]Marco Bressan, Emmanuel Esposito, Maximilian Thiessen:
Efficient Algorithms for Learning Monophonic Halfspaces in Graphs. CoRR abs/2405.00853 (2024) - [i5]Marco Bressan, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen:
A Theory of Interpretable Approximations. CoRR abs/2406.10529 (2024) - [i4]Georgy Sokolov, Maximilian Thiessen, Margarita Akhmejanova, Fabio Vitale, Francesco Orabona:
Self-Directed Learning of Convex Labelings on Graphs. CoRR abs/2409.01428 (2024) - 2023
- [c6]Pascal Welke, Maximilian Thiessen, Fabian Jogl, Thomas Gärtner:
Expectation-Complete Graph Representations with Homomorphisms. ICML 2023: 36910-36925 - [c5]Fabian Jogl, Maximilian Thiessen, Thomas Gärtner:
Expressivity-Preserving GNN Simulation. NeurIPS 2023 - [i3]Pascal Welke, Maximilian Thiessen, Fabian Jogl, Thomas Gärtner:
Expectation-Complete Graph Representations with Homomorphisms. CoRR abs/2306.05838 (2023) - 2022
- [c4]Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice, Maximilian Thiessen:
Active Learning of Classifiers with Label and Seed Queries. NeurIPS 2022 - [c3]Maximilian Thiessen, Thomas Gärtner:
Online Learning of Convex Sets on Graphs. ECML/PKDD (4) 2022: 349-364 - [i2]Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice, Maximilian Thiessen:
Active Learning of Classifiers with Label and Seed Queries. CoRR abs/2209.03996 (2022) - [i1]Sohir Maskey, Ali Parviz, Maximilian Thiessen, Hannes Stärk, Ylli Sadikaj, Haggai Maron:
Generalized Laplacian Positional Encoding for Graph Representation Learning. CoRR abs/2210.15956 (2022) - 2021
- [c2]Maximilian Thiessen, Thomas Gärtner:
Active Learning of Convex Halfspaces on Graphs. NeurIPS 2021: 23413-23425 - 2020
- [c1]Maximilian Thiessen, Luis Quesada, Kenneth N. Brown:
Improving a Branch-and-Bound Approach for the Degree-Constrained Minimum Spanning Tree Problem with LKH. CPAIOR 2020: 447-456
Coauthor Index
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