David Kaltenpoth
6 papers · 2023–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (13) π Cross-Pollinator (11)
π
Renaissance Researcher
(5)
β‘
Prolific Year
(5)
Conferences
AISTATS (2)
AAAI (1)
ICML (1)
NIPS (1)
UAI (1)
Top co-authors
Research topics
Keywords
causal discovery
(5)
causal inference
(1)
gaussian process
(1)
mutual information
(1)
distribution shift
(1)
distribution testing
(1)
minimum description length
(1)
representative sampling
(1)
communication efficiency
(1)
regret optimization
(1)
latent variable
(1)
variational autoencoder
(1)
selection bia
(1)
multi-environment learning
(1)
causal model
(1)
observational datum
(1)
hidden confounder
(1)
causal graph
(1)
confounding variable
(1)
causal mechanism shift
(1)
Papers
Identifying Confounding from Causal Mechanism Shifts
AISTATS 2024
Learning Causal Models under Independent Changes
NIPS 2023
Identifying Selection Bias from Observational Data
AAAI 2023
Nothing but Regrets β Privacy-Preserving Federated Causal Discovery
AISTATS 2023
Nonlinear Causal Discovery with Latent Confounders
ICML 2023
Causal Discovery with Hidden Confounders using the Algorithmic Markov Condition
UAI 2023