Alexander Marx
9 papers · 2019–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π Academic Marathon (5) π Cross-Pollinator (14) πΊοΈ Taxonomy Completionist (13)
π§
Keyword Pioneer
π
Conference Polyglot
(6)
π
Keyword Champion
(2)
π
Triple Crown
π
Grand Slam
Conferences
ICLR (2)
ICML (2)
NIPS (2)
AAAI (1)
AISTATS (1)
UAI (1)
Top co-authors
Research topics
Keywords
causal discovery
(4)
heteroscedastic noise
(2)
causal inference
(2)
conditional independence
(2)
neural network
(2)
epistemic uncertainty
(1)
laplace approximation
(1)
mutual information
(1)
dynamic programming
(1)
kolmogorov complexity
(1)
mutual information estimation
(1)
minimum description length
(1)
statistical dependency
(1)
conditional mutual information
(1)
conditional distribution
(1)
graphical model
(1)
feature map
(1)
neural estimator
(1)
aleatoric uncertainty
(1)
discrete datum
(1)
Papers
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning
ICLR 2024
Effective Bayesian Heteroscedastic Regression with Deep Neural Networks
NIPS 2023
Beyond Normal: On the Evaluation of Mutual Information Estimators
NIPS 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
Discovering Fully Oriented Causal Networks
AAAI 2021
A weaker faithfulness assumption based on triple interactions
UAI 2021
Testing Conditional Independence on Discrete Data using Stochastic Complexity
AISTATS 2019