Alexander Marx
9 papers · 2019–2024 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze
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Triple Crown
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Grand Slam
Top co-authors
Research topics
Keywords
causal discovery
(4)
neural network
(2)
causal graph
(2)
representation learning
(2)
conditional independence
(2)
causal inference
(2)
heteroscedastic noise
(2)
sample efficiency
(1)
multimodal learning
(1)
reinforcement learning
(1)
epistemic uncertainty
(1)
posterior sampling
(1)
laplace approximation
(1)
mutual information
(1)
uncertainty quantification
(1)
contrastive learning
(1)
minimum description length
(1)
mutual information estimation
(1)
statistical dependency
(1)
kolmogorov complexity
(1)
Papers
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning
ICLR 2024
Beyond Normal: On the Evaluation of Mutual Information Estimators
NeurIPS 2023
Effective Bayesian Heteroscedastic Regression with Deep Neural Networks
NeurIPS 2023
Identifiability Results for Multimodal Contrastive Learning
ICLR 2023
On the Identifiability and Estimation of Causal Location-Scale Noise Models
ICML 2023
Inferring Cause and Effect in the Presence of Heteroscedastic Noise
ICML 2022
A weaker faithfulness assumption based on triple interactions
UAI 2021
Discovering Fully Oriented Causal Networks
AAAI 2021
Testing Conditional Independence on Discrete Data using Stochastic Complexity
AISTATS 2019