Kailash Budhathoki
My research concerns identifying causal explanations from observational (non-experimental) data. Typical problems that I have worked on so far include
  • inferring the causal direction between a pair of random variables \((X, Y)\), and
  • finding the conditions under which a set of variables \((\mathcal{X})\) affect a target \((Y)\).
My mission is to integrate causal analysis into existing correlation based data mining techniques.
Papers
  • 2018

    Rule Discovery for Exploratory Causal Reasoning

    In: Workshop on Causal Learning, NeurIPS, 2018.

    Kailash Budhathoki, Mario Boley and Jilles Vreeken

    Accurate Causal Inference on Discrete Data

    In: Proceedings of the IEEE International Conference on Data Mining (ICDM'18), IEEE, 2018.

    Kailash Budhathoki and Jilles Vreeken

    Ranking the Teams in European Football Leagues With Agony

    In: Workshop on Machine Learning and Data Mining for Sports Analytics, ECML/PKDD, 2018.

    Stefan Neumann, Julian Ritter and Kailash Budhathoki

    Causal Inference on Event Sequences

    In: Proceedings of the SIAM International Conference on Data Mining (SDM'18), SIAM, 2018.

    Kailash Budhathoki and Jilles Vreeken
  • 2017

    ORIGO: Causal Inference by Compression

    Knowledge and Information Systems, Springer, 2017.

    Kailash Budhathoki and Jilles Vreeken

    MDL for Causal Inference on Discrete Data

    In: Proceedings of the IEEE International Conference on Data Mining (ICDM'17), IEEE, 2017.

    Kailash Budhathoki and Jilles Vreeken

    Correlation by Compression

    In: Proceedings of the SIAM International Conference on Data Mining (SDM'17), SIAM, 2017.

    Kailash Budhathoki and Jilles Vreeken
  • 2016

    Casual Inference by Compression, Corrigendum

    In: Proceedings of the IEEE International Conference on Data Mining (ICDM'16), IEEE, 2016.

    Kailash Budhathoki and Jilles Vreeken
  • 2015

    The Difference and The Norm — Characterising Similarities and Differences between Databases

    In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Springer, 2015.

    Kailash Budhathoki and Jilles Vreeken
Degree
  • Dec 2015 — Current

    PhD Student

    Max Planck Institute for Informatics and Saarland University, Germany

  • Oct 2013 — Sep 2015

    MSc in Computer Science

    Saarland University, Germany

  • Dec 2006 — Dec 2010

    Bachelor of Computer Engineering

    Institute of Engineering, Pulchowk Campus, Nepal

Journal Reviewer
  • 2016

    TKDD special issue on Interactive Data Exploration and Analytics (IDEA)

Programme Committee
  • 2019

    SIAM International Conference on Data Mining (SDM'19), SIAM

Teaching
  • WiSe 2017/2018

    Tutor (Core course, Bachelors+Masters, approx. 85 students)

Blog Posts

coming very soon ...

Contact