Scott Sussex
7 papers · 2019–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Keywords
causal structure learning
(3)
structural causal model
(2)
off-policy evaluation
(1)
online learning
(1)
variational inference
(1)
bayesian inference
(1)
causal discovery
(1)
epistemic uncertainty
(1)
importance sampling
(1)
nonparametric model
(1)
model-based reinforcement learning
(1)
experimental design
(1)
batch reinforcement learning
(1)
amortized inference
(1)
cumulative regret
(1)
regret bound
(1)
approximation algorithm
(1)
structural equation model
(1)
inductive bia
(1)
mixture of expert
(1)
Papers
Standardizing Structural Causal Models
ICLR 2025
Adversarial Causal Bayesian Optimization
ICLR 2024
Model-based Causal Bayesian Optimization
ICLR 2023
Amortized Inference for Causal Structure Learning
NeurIPS 2022
Learning Long-Term Crop Management Strategies with CyclesGym
NeurIPS 2022
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning
NeurIPS 2021
Combining parametric and nonparametric models for off-policy evaluation
ICML 2019