Scott Sussex PhD Student scott.sussex@inf.ethz.ch TBD TBD External Website TBD Publications 2024 Standardizing Structural Causal Models W. Ormaniec*, S. Sussex*, L. Lorch*, B. Schölkopf, A. KrauseIn arXiv preprint arXiv:2406.11601, 2024[bibtex] [abstract] [pdf] Adversarial Causal Bayesian Optimization S. Sussex, P. G. Sessa, A. Makarova, A. KrauseIn Proc. International Conference on Learning Representations (ICLR), 2024[bibtex] [abstract] [pdf] 2023 Model-based Causal Bayesian Optimization S. Sussex, A. Makarova, A. KrauseIn International Conference on Learning Representations (ICLR), 2023Spotlight presentation[bibtex] [abstract] [pdf] 2022 Amortized Inference for Causal Structure Learning L. Lorch, S. Sussex, J. Rothfuss, A. Krause, B. SchölkopfIn Proc. Neural Information Processing Systems (NeurIPS), 2022[bibtex] [abstract] [pdf] [code] Learning Long-Term Crop Management Strategies with CyclesGym M. Turchetta, L. Corinzia, S. Sussex, A. Burton, J. Herrera, I. N. Athanasiadis, J. M. Buhmann, A. KrauseIn Proc. Neural Information Processing Systems (NeurIPS), 2022[bibtex] [abstract] [pdf] 2021 Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning S. Sussex, A. Krause, C. UhlerIn Proc. Neural Information Processing Systems (NeurIPS), 2021[bibtex] [abstract] [pdf]
