Kailash Budhathoki
Keywords:- Algorithmic Data Analysis, (Algorithmic) Information Theory, Causal Inference, Statistics
I am broadly interested in Algorithmic Data Analysis where we are concerned with developing theory and algorithms for extracting interesting structures from data.

Publications
  • Budhathoki, Kailash & Vreeken, Jilles Casual Inference by Compression. In: Proceedings of the IEEE International Conference on Data Mining (ICDM'16), IEEE, 2016. (regular paper, 8.5% acceptance rate; overall 19.6%, to appear)
  • Budhathoki, Kailash & Vreeken, Jilles 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. (23.2% acceptance rate)
Academic Service
  • Reviewer for Transactions on Knowledge Discovery from Data (TKDD) special issue on Interactive Data Exploration and Analytics (IDEA), 2016
  • External Reviewer for KDD'16
  • External Reviewer for SDM'16
Education
  • December 2015 - Present, PhD student, Saarland Informatics Campus, Germany
  • October 2013 - September 2015, MSc in Computer Science, Saarland Informatics Campus, Germany
  • December 2006 - December 2010, Bachelor's Degree in Computer Engineering, TU, Intitute of Engineering, Pulchowk Campus, Nepal
Awards/Participation
Industrial Experience
  • Feb 2011 - Sep 2013, Software Developer, LogPoint A/S, Denmark
  • Jan 2013 - July 2013, Part-time Contractor, MobSafety Inc., Canada
Links
I have greatly benefited from materials available online. You might, as well, find these things interesting.