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 | 16 | 2023 |
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 | 6 | 2021 |
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 | 3 | 2023 |
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 | 2 | 2024 |
The Causal Marginal Polytope for Bounding Treatment Effects J Zeitler, R Silva arXiv preprint arXiv:2202.13851, 2022 | 2 | 2022 |
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 | | |