Explanatory Data Analysis group

Lincen Yang

Lincen Yang
Lincen Yang

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Lincen is a PhD student working on a project titled 'Human-Guided Data Science by Interactive Model Selection', funded by an NWO TOP grant, in which he will combine MDL-based model selection with interactive data mining.

He was previously a Master student of Statistical Sciences (Data Science specialization) at Leiden University. He also did his Master's thesis, titled MDL-based Map Segmentation for Trajectory Mining, in the EDA group. In this project he came up with an extension of the existing 'MDL histogram' method to 2D, which was motivated by an application in trajectory mining. His master thesis was supervised by Dr. Matthijs van Leeuwen, Dr. Mitra Baratchi, and Prof. dr. Peter Gr├╝nwald.

Selected recent publications

Yang, L, Baratchi, M & van Leeuwen, M Unsupervised Discretization by Two-dimensional MDL-based Histogram. Machine Learning, Springerwebsite
Yang, L, Opdam, T & van Leeuwen, M Histogram-based Probabilistic Rule Lists for Numeric Targets. In: Proceedings of the 20th anniversary Workshop on Knowledge Discovery in Inductive Databases (KDID 2022) at ECMLPKDD 2022, CEUR Workshop Proceedings, 2022.
Yang, L & van Leeuwen, M Truly Unordered Probabilistic Rule Sets for Multi-class Classification. In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2022), Springer, 2022.implementationwebsite
Yang, L & van Leeuwen, M Probabilistic Rule Sets Ready for Interactive Machine Learning. In: AAAI'22-Workshop on Interactive Machine Learning, 2022.
Marx, A, Yang, L & van Leeuwen, M Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms. In: Proceedings of the SIAM Conference on Data Mining 2021 (SDM'21), SIAM, 2021.website