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Scott Sussex
Scott Sussex
PhD Student, ETH Zürich
Verified email at inf.ethz.ch
Title
Cited by
Cited by
Year
Combining parametric and nonparametric models for off-policy evaluation
O Gottesman, Y Liu, S Sussex, E Brunskill, F Doshi-Velez
International Conference on Machine Learning, 2366-2375, 2019
302019
Amortized inference for causal structure learning
L Lorch, S Sussex, J Rothfuss, A Krause, B Schölkopf
Advances in Neural Information Processing Systems 35, 13104-13118, 2022
282022
Model-based causal Bayesian optimization
S Sussex, A Makarova, A Krause
arXiv preprint arXiv:2211.10257, 2022
162022
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning
S Sussex, C Uhler, A Krause
Advances in Neural Information Processing Systems 34 2, 777-788, 2022
142022
Learning long-term crop management strategies with cyclesgym
M Turchetta, L Corinzia, S Sussex, A Burton, J Herrera, I Athanasiadis, ...
Advances in neural information processing systems 35, 11396-11409, 2022
82022
Adversarial Causal Bayesian Optimization
S Sussex, P Giuseppe Sessa, A Makarova, A Krause
arXiv preprint arXiv:2307.16625, 2023
12023
Stitched trajectories for off-policy learning
S Sussex, O Gottesman, Y Liu, S Murphy, E Brunskill, F Doshi-Velez
ICML Workshop, 2018
12018
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Articles 1–7