Tue Herlau - RankMe

19 papers A* 1C 1Journal 6Unranked 11

Year	Rank	Type	Title / Venue / Authors
2022	C	`conf`	Active learning of causal probability trees. ICMLA Tue Herlau
2022	J	`jnl`	Active learning of causal probability trees. CoRR Tue Herlau
2022	—	`conf`	Bayesian dropout. ANT/EDI40 Tue Herlau, Mikkel N. Schmidt, Morten Mørup
2022	J	`jnl`	Moral reinforcement learning using actual causation. CoRR Tue Herlau
2022	J	`jnl`	Probability trees and the value of a single intervention. CoRR Tue Herlau
2022	A*	`conf`	Reinforcement Learning of Causal Variables Using Mediation Analysis. AAAI Tue Herlau, Rasmus Larsen
2020	J	`jnl`	Causal variables from reinforcement learning using generalized Bellman equations. CoRR Tue Herlau
2016	—	`conf`	Bayesian latent feature modeling for modeling bipartite networks with overlapping groups. MLSP Philip H. Jørgensen, Morten Mørup, Mikkel N. Schmidt, Tue Herlau
2016	—	`conf`	Completely random measures for modelling block-structured sparse networks. NIPS Tue Herlau, Mikkel N. Schmidt, Morten Mørup
2014	J	`jnl`	Cross-categorization of legal concepts across boundaries of legal systems: in consideration of inferential links. Artif. Intell. Law Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt, Morten Mørup
2014	—	`conf`	Discovering hierarchical structure in normal relational data. CIP Mikkel N. Schmidt, Tue Herlau, Morten Mørup
2014	J	`jnl`	Efficient inference of overlapping communities in complex networks. CoRR Bjarne Ørum Fruergaard, Tue Herlau
2014	—	`conf`	Nonparametric statistical structuring of knowledge systems using binary feature matches. MLSP Morten Mørup, Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt
2013	—	`conf`	Analysis of Conceptualization Patterns across Groups of People. TAAI Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt, Morten Mørup, Rafal Rzepka, Kenji Araki
2013	—	`conf`	Comparing Structural Brain Connectivity by the Infinite Relational Model. PRNI Karen Sandø Ambrosen, Tue Herlau, Tim B. Dyrby, Mikkel N. Schmidt, Morten Mørup
2013	—	`conf`	Modeling Temporal Evolution and Multiscale Structure in Networks. ICML (3) Tue Herlau, Morten Mørup, Mikkel N. Schmidt
2013	—	`conf`	Unsupervised Knowledge Structuring: Application of Infinite Relational Models to the FCA Visualization. SITIS Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt, Morten Mørup
2012	—	`conf`	Detecting hierarchical structure in networks. CIP Tue Herlau, Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen
2012	—	`conf`	Modelling dense relational data. MLSP Tue Herlau, Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen