Daniel Tschernutter

According to our database, Daniel Tschernutter authored at least 7 papers between 2021 and 2025.

Collaborative distances:

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

2025

Data-driven dynamic police patrolling: An efficient Monte Carlo tree search.

Daniel Tschernutter, Stefan Feuerriegel

Eur. J. Oper. Res., 2025

2024

A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions.

Daniel Tschernutter, Mathias Kraus, Stefan Feuerriegel

Trans. Mach. Learn. Res., 2024

Interpretable generalized additive neural networks.

Mathias Kraus, Daniel Tschernutter, Sven Weinzierl, Patrick Zschech

Eur. J. Oper. Res., 2024

2022

Advances in Data-Driven Decision-Making: A Mathematical Optimization Perspective.

Daniel Tschernutter

PhD thesis, 2022

Generalizing off-policy learning under sample selection bias.

Tobias Hatt, Daniel Tschernutter, Stefan Feuerriegel

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Interpretable Off-Policy Learning via Hyperbox Search.

Daniel Tschernutter, Tobias Hatt, Stefan Feuerriegel

Proceedings of the International Conference on Machine Learning, 2022

2021

A Latent Customer Flow Model for Interpretable Predictions of Check-In Counts.

Daniel Tschernutter, Stefan Feuerriegel

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021