Jilles Vreeken

1. Formally Justifying MDL-based Inference of Cause and Effect
   2021/05/05 by Alexander Marx, Marx, Alexander, Jilles Vreeken +1 · 3 citations
   Computer Science · #Bayesian Modeling and Causal Inference #Computability, Logic, AI Algorithms #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning and Algorithms
2. We Are Not Your Real Parents: Telling Causal from Confounded using MDL
   2019/01/21 by David Kaltenpoth, Jilles Vreeken, Kaltenpoth, David +1 · 2 citations
   Computer Science · #Bayesian Modeling and Causal Inference #Computability, Logic, AI Algorithms #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Causal Inference by Stochastic Complexity
   2017/02/22 by Kailash Budhathoki, Jilles Vreeken, Budhathoki, Kailash +1 · 2 citations
   Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Machine Learning and Algorithms #Statistical Methods and Inference
4. Towards Plausible Graph Anonymization
   2017/11/15 by Yang Zhang, Zhang, Yang, Mathias Humbert +9 · 1 citation
   Computer Science · Social Sciences · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Internet Traffic Analysis and Secure E-voting #Privacy, Security, and Data Protection #Privacy-Preserving Technologies in Data #Social and Information Networks (cs.SI)
5. All the world’s a (hyper)graph: A data drama
   2022/06/16 by Corinna Coupette, Jilles Vreeken, Bastian Rieck · 3 voices
   Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks #Complex Network Analysis Techniques #cs.CL #cs.CY #cs.LG #cs.SI
6. Federated Learning from Small Datasets
   2021/10/07 by Michael Kamp, Jonas Fischer, Kamp, Michael +3 · 1 citation
   Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Data Quality and Management #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
7. Learning Exceptional Subgroups by End-to-End Maximizing KL-divergence
   2024/02/20 by Sascha Xu, Xu, Sascha, Nils Philipp Walter +5 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Fuzzy Logic and Control Systems #Machine Learning (cs.LG) #Neural Networks and Applications
8. From your Block to our Block: How to Find Shared Structure between Stochastic Block Models over Multiple Graphs
   2024/12/20 by Iiro Kumpulainen, Kumpulainen, Iiro, Sebastian Dalleiger +5 · 1 citation
   Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Computer and information sciences #Social and Information Networks (cs.SI)
9. Neuro-Symbolic Rule Lists
   2024/11/10 by Sascha Xu, Xu, Sascha, Nils Philipp Walter +3 · 1 citation
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
10. SpaceTime: Causal Discovery from Non-Stationary Time Series
    2025/01/17 by Sarah Mameche, Mameche, Sarah, Lénaïg Cornanguer +5 · 1 citation
    Business, Management and Accounting · Computer Science · Decision Sciences · #Big Data and Business Intelligence #Data Quality and Management #FOS: Computer and information sciences #Geochemistry and Geologic Mapping #Machine Learning (cs.LG)
11. In-Context Time Series Classification with Random Convolutional Features
    2026/07/21 by Joscha Cüppers, Jilles Vreeken
    #cs.LG