Christian Knoll
5 papers · 2019–2025 · 3 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze
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Conference Pioneer
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Mathematics & Optimization
(2)
Learning Types
(2)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Core Methods
(1)
Learning Paradigms
(1)
Mathematics
(1)
Optimization
(1)
Keywords
belief propagation
(3)
graphical model
(2)
bayesian causal inference
(2)
gaussian process
(2)
graph theory
(1)
causal discovery
(1)
causal structure learning
(1)
partition function
(1)
lyapunov function
(1)
bethe approximation
(1)
probabilistic graphical model
(1)
marginal distribution
(1)
fixed point
(1)
interventional data
(1)
interventional distribution
(1)
region of attraction
(1)
polynomial sum-of-squares
(1)
active learning
(1)
autoregressive distribution
(1)
causal reasoning
(1)
Papers
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders
AISTATS 2025
Active Bayesian Causal Inference
NeurIPS 2022
Fixing the Bethe approximation: How structural modifications in a graph improve belief propagation
UAI 2022
Convergence behavior of belief propagation: estimating regions of attraction via Lyapunov functions
UAI 2021
Belief Propagation: Accurate Marginals or Accurate Partition Function – Where is the Difference?
UAI 2019