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2020 – today
- 2023
[c3]Kirtan Padh
, Jakob Zeitler, David S. Watson, Matt J. Kusner, Ricardo Silva, Niki Kilbertus:
Stochastic Causal Programming for Bounding Treatment Effects. CLeaR 2023: 142-176- [c2]Jakob Zeitler, Athanasios Vlontzos, Ciarán Mark Gilligan-Lee:
Non-parametric identifiability and sensitivity analysis of synthetic control models. CLeaR 2023: 850-865 - [c1]Gecia Bravo Hermsdorff, David S. Watson, Jialin Yu, Jakob Zeitler, Ricardo Silva:
Intervention Generalization: A View from Factor Graph Models. NeurIPS 2023 - [i8]Jakob Zeitler, Athanasios Vlontzos, Ciarán M. Gilligan-Lee:
Non-parametric identifiability and sensitivity analysis of synthetic control models. CoRR abs/2301.07656 (2023) - [i7]Gecia Bravo Hermsdorff, David S. Watson, Jialin Yu, Jakob Zeitler, Ricardo Silva:
Intervention Generalization: A View from Factor Graph Models. CoRR abs/2306.04027 (2023) - [i6]Mahdi Eskandari, Lars Puiman, Jakob Zeitler:
Multi-fidelity Bayesian Optimisation of Syngas Fermentation Simulators. CoRR abs/2311.05776 (2023) - [i5]Hao Wen, Jakob Zeitler, Connor Rupnow:
Search Strategies for Self-driving Laboratories with Pending Experiments. CoRR abs/2312.03466 (2023) - [i4]Gbètondji J.-S. Dovonon, Jakob Zeitler:
Long-run Behaviour of Multi-fidelity Bayesian Optimisation. CoRR abs/2312.12633 (2023) - 2022
- [i3]Kirtan Padh, Jakob Zeitler, David S. Watson, Matt J. Kusner, Ricardo Silva, Niki Kilbertus:
Stochastic Causal Programming for Bounding Treatment Effects. CoRR abs/2202.10806 (2022) - [i2]Jakob Zeitler, Ricardo Silva:
The Causal Marginal Polytope for Bounding Treatment Effects. CoRR abs/2202.13851 (2022) - 2021
- [i1]Julius von Kügelgen, Nikita Agarwal, Jakob Zeitler, Afsaneh Mastouri, Bernhard Schölkopf:
Algorithmic Recourse in Partially and Fully Confounded Settings Through Bounding Counterfactual Effects. CoRR abs/2106.11849 (2021)
Coauthor Index
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