Zeitler, Jakob

7 publications

NeurIPS 2023 Intervention Generalization: A View from Factor Graph Models Gecia Bravo-Hermsdorff, David Watson, Jialin Yu, Jakob Zeitler, Ricardo Silva

NeurIPSW 2023 Long-Run Behaviour of Multi-Fidelity Bayesian Optimisation Gbetondji Jean-Sebastien Dovonon, Jakob Zeitler

NeurIPSW 2023 Multi-Fidelity Bayesian Optimisation of Syngas Fermentation Simulators Mahdi Eskandari, Lars Puiman, Jakob Zeitler

CLeaR 2023 Non-Parametric Identifiability and Sensitivity Analysis of Synthetic Control Models Jakob Zeitler, Athanasios Vlontzos, Ciarán Mark Gilligan-Lee

NeurIPSW 2023 Search Strategies for Self-Driving Laboratories with Pending Experiments Hao Wen, Jakob Zeitler, Connor Rupnow

CLeaR 2023 Stochastic Causal Programming for Bounding Treatment Effects Kirtan Padh, Jakob Zeitler, David Watson, Matt Kusner, Ricardo Silva, Niki Kilbertus

NeurIPSW 2022 Partial Identification Without Distributional Assumptions Kirtan Padh, Jakob Zeitler, David Watson, Matt Kusner, Ricardo Silva, Niki Kilbertus