Scott Sussex

13 papers A* 7Journal 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
Standardizing Structural Causal Models.
ICLR
Weronika Ormaniec, Scott Sussex, Lars Lorch, Bernhard Schölkopf, Andreas Krause
2024 A* conf
Adversarial Causal Bayesian Optimization.
ICLR
Scott Sussex, Pier Giuseppe Sessa, Anastasia Makarova, Andreas Krause
2024 J jnl
Standardizing Structural Causal Models.
CoRR
Weronika Ormaniec, Scott Sussex, Lars Lorch, Bernhard Schölkopf, Andreas Krause
2023 A* conf
Model-based Causal Bayesian Optimization.
ICLR
Scott Sussex, Anastasia Makarova, Andreas Krause
2023 J jnl
Model-based Causal Bayesian Optimization.
CoRR
Scott Sussex, Pier Giuseppe Sessa, Anastasiia Makarova, Andreas Krause
2022 A* conf
Amortized Inference for Causal Structure Learning.
NeurIPS
Lars Lorch, Scott Sussex, Jonas Rothfuss, Andreas Krause, Bernhard Schölkopf
2022 J jnl
Amortized Inference for Causal Structure Learning.
CoRR
Lars Lorch, Scott Sussex, Jonas Rothfuss, Andreas Krause, Bernhard Schölkopf
2022 A* conf
Learning Long-Term Crop Management Strategies with CyclesGym.
NeurIPS
Matteo Turchetta, Luca Corinzia, Scott Sussex, Amanda Burton, Juan Herrera, Ioannis N. Athanasiadis, Joachim M. Buhmann, Andreas Krause
2022 J jnl
Model-based Causal Bayesian Optimization.
CoRR
Scott Sussex, Anastasiia Makarova, Andreas Krause
2021 A* conf
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning.
NeurIPS
Scott Sussex, Caroline Uhler, Andreas Krause
2021 J jnl
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning.
CoRR
Scott Sussex, Andreas Krause, Caroline Uhler
2019 J jnl
Combining Parametric and Nonparametric Models for Off-Policy Evaluation.
CoRR
Omer Gottesman, Yao Liu, Scott Sussex, Emma Brunskill, Finale Doshi-Velez
2019 A* conf
Combining parametric and nonparametric models for off-policy evaluation.
ICML
Omer Gottesman, Yao Liu, Scott Sussex, Emma Brunskill, Finale Doshi-Velez