Jakob Zeitler

According to our database, Jakob Zeitler authored at least 8 papers between 2021 and 2023.

Collaborative distances:

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

2023

Long-run Behaviour of Multi-fidelity Bayesian Optimisation.

Gbètondji J.-S. Dovonon, Jakob Zeitler

CoRR, 2023

Search Strategies for Self-driving Laboratories with Pending Experiments.

Hao Wen, Jakob Zeitler, Connor Rupnow

CoRR, 2023

Multi-fidelity Bayesian Optimisation of Syngas Fermentation Simulators.

Mahdi Eskandari, Lars Puiman, Jakob Zeitler

CoRR, 2023

Intervention Generalization: A View from Factor Graph Models.

Gecia Bravo Hermsdorff, David S. Watson, Jialin Yu, Jakob Zeitler, Ricardo Silva

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Non-parametric identifiability and sensitivity analysis of synthetic control models.

Jakob Zeitler, Athanasios Vlontzos, Ciarán Mark Gilligan-Lee

Proceedings of the Conference on Causal Learning and Reasoning, 2023

Stochastic Causal Programming for Bounding Treatment Effects.

Kirtan Padh, Jakob Zeitler, David S. Watson, Matt J. Kusner, Ricardo Silva, Niki Kilbertus

Proceedings of the Conference on Causal Learning and Reasoning, 2023

2022

The Causal Marginal Polytope for Bounding Treatment Effects.

Jakob Zeitler, Ricardo Silva

CoRR, 2022

2021

Algorithmic Recourse in Partially and Fully Confounded Settings Through Bounding Counterfactual Effects.

Julius von Kügelgen, Nikita Agarwal, Jakob Zeitler, Afsaneh Mastouri, Bernhard Schölkopf

CoRR, 2021