Dominik Linzner
6 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Academic Marathon (7) π Interdisciplinary Bridge π Conference Polyglot (4) πΊοΈ Taxonomy Completionist (15)
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Keyword Pioneer
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Trend Setter
Conferences
ICML (2)
NIPS (2)
AAAI (1)
JMLR (1)
Top co-authors
Keywords
variational inference
(4)
continuous-time bayesian network
(3)
structure learning
(2)
gradient-based optimization
(1)
markov decision process
(1)
parameter inference
(1)
experimental design
(1)
perturbation theory
(1)
bayesian optimization
(1)
multi-agent planning
(1)
mixture model
(1)
interaction graph
(1)
incomplete datum
(1)
gene regulatory network
(1)
structure inference
(1)
continuous time bayesian network
(1)
design of experiment
(1)
variational perturbation theory
(1)
planning via inference
(1)
latent state estimation
(1)
Papers
BoFire: Bayesian Optimization Framework Intended for Real Experiments
JMLR 2025
Active Learning of Continuous-time Bayesian Networks through Interventions
ICML 2021
A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes
AAAI 2020
Continuous Time Bayesian Networks with Clocks
ICML 2020
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data
NIPS 2019
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data
NIPS 2018