Daniel Tschernutter

According to our database, Daniel Tschernutter authored at least 5 papers between 2021 and 2024.

Collaborative distances:

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

2024

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

Daniel Tschernutter, Mathias Kraus, Stefan Feuerriegel

CoRR, 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