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Jakob Zeitler
Jakob Zeitler
Bestätigte E-Mail-Adresse bei ucl.ac.uk - Startseite
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Zitiert von
Jahr
Stochastic causal programming for bounding treatment effects
K Padh, J Zeitler, D Watson, M Kusner, R Silva, N Kilbertus
Conference on Causal Learning and Reasoning, 142-176, 2023
152023
Algorithmic recourse in partially and fully confounded settings through bounding counterfactual effects
J von Kügelgen, N Agarwal, J Zeitler, A Mastouri, B Schölkopf
arXiv preprint arXiv:2106.11849, 2021
62021
Intervention generalization: A view from factor graph models
G Bravo-Hermsdorff, D Watson, J Yu, J Zeitler, R Silva
Advances in Neural Information Processing Systems 36, 2024
22024
Non-parametric identifiability and sensitivity analysis of synthetic control models
J Zeitler, A Vlontzos, CM Gilligan-Lee
Conference on Causal Learning and Reasoning, 850-865, 2023
22023
The Causal Marginal Polytope for Bounding Treatment Effects
J Zeitler, R Silva
arXiv preprint arXiv:2202.13851, 2022
22022
Long-run Behaviour of Multi-fidelity Bayesian Optimisation
GJS Dovonon, J Zeitler
arXiv preprint arXiv:2312.12633, 2023
2023
Intervention Generalization: A View from Factor Graph Models
R Silva, G Bravo-Hermsdorff, D Watson, J Yu, J Zeitler
https://proceedings. neurips. cc//, 2023
2023
Multi-fidelity Bayesian Optimisation of Syngas Fermentation Simulators
M Eskandari, L Puiman, J Zeitler
arXiv preprint arXiv:2311.05776, 2023
2023
Search Strategies for Self-driving Laboratories with Pending Experiments
H Wen, J Zeitler, C Rupnow
AI for Accelerated Materials Design-NeurIPS 2023 Workshop, 2023
2023
Partial identification without distributional assumptions
K Padh, J Zeitler, D Watson, M Kusner, R Silva, N Kilbertus
NeurIPS 2022 Workshop on Causality for Real-world Impact, 2022
2022
Machine Learning and Anomaly Detection Algorithms for Damage Characterization From Compliance Data in Three-Point Bending Fatigue
S Kalia, J Zeitler, CK Mohan, V Weiss
Journal of Nondestructive Evaluation, Diagnostics and Prognostics of …, 2021
2021
MACHINE LEARNING AND ANOMALY DETECTION ALGORITHMS FOR DAMAGE CHARACTERIZATION FROM COMPLIANCE DATA IN 3-POINT BENDING FATIGUE
S Kalia, J Zeitler, C Mohan, V Weiss
Journal of Nondestructive Evaluation, Diagnostics and Prognostics of …, 2021
2021
Exploratory Study of the Application of Anomaly Detection Methodology to the Analysis of Fatigue Data
RH Jakob Zeitler, Chilukuri Mohan, Volker Weiss
NERCCS 2019: Second Northeast Regional Conference on Complex Systems 2 (http …, 2019
2019
The Cyborg Question
J Zeitler
2016
The Causal Marginal Polytope for Bounding Treatment Effects
R Silva, J Zeitler
2022 Spring Western Sectional Meeting, 0
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