Dominik Linzner

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 10

Top Topics

Markov Decision Process

Variational Approximation

Structure Learning

Bayesian Networks

Top Venues

Publications

Dominik Linzner, Heinz Koeppl
Active Learning of Continuous-time Bayesian Networks through Interventions. CoRR (2021)
Dominik Linzner, Heinz Koeppl
Active Learning of Continuous-time Bayesian Networks through Interventions. ICML (2021)
Dominik Linzner, Heinz Koeppl
A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes. AAAI (2020)
Nicolai Engelmann, Dominik Linzner, Heinz Koeppl
Continuous-Time Bayesian Networks with Clocks. CoRR (2020)
Nicolai Engelmann, Dominik Linzner, Heinz Koeppl
Continuous Time Bayesian Networks with Clocks. ICML (2020)
Dominik Linzner, Michael Schmidt, Heinz Koeppl
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data. CoRR (2019)
Dominik Linzner, Heinz Koeppl
A Variational Perturbative Approach to Planning in Graph-based Markov Decision Processes. CoRR (2019)
Dominik Linzner, Michael Schmidt, Heinz Koeppl
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data. NeurIPS (2019)
Dominik Linzner, Heinz Koeppl
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data. NeurIPS (2018)
Dominik Linzner, Heinz Koeppl
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data. CoRR (2018)