Dominik Linzner

According to our database, Dominik Linzner authored at least 7 papers between 2018 and 2024.

Collaborative distances:

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

2024

BoFire: Bayesian Optimization Framework Intended for Real Experiments.

Johannes P. Dürholt, Thomas S. Asche, Johanna Kleinekorte, Gabriel Mancino-Ball, Benjamin Schiller, Simon Sung, Julian Keupp, Aaron Osburg, Toby Boyne, Ruth Misener, Rosona Eldred, Wagner Steuer Costa, Chrysoula Kappatou, Robert M. Lee, Dominik Linzner, David Walz, Niklas Wulkow, Behrang Shafei

CoRR, 2024

2021

Scalable Inference in Graph-coupled Continuous-time Markov Chains.

Dominik Linzner

PhD thesis, 2021

Active Learning of Continuous-time Bayesian Networks through Interventions.

Dominik Linzner, Heinz Koeppl

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Continuous Time Bayesian Networks with Clocks.

Nicolai Engelmann, Dominik Linzner, Heinz Koeppl

Proceedings of the 37th International Conference on Machine Learning, 2020

A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes.

Dominik Linzner, Heinz Koeppl

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data.

Dominik Linzner, Michael Schmidt, Heinz Koeppl

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data.

Dominik Linzner, Heinz Koeppl

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018