Scott Sussex

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Markov Logic Networks

Causal Relationships

Structure Learning

Conditional Independence Tests

Top Venues

Publications

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