###### 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 $$(Y)$$.

I am looking for new opportunities.
• 2018

• 2017

• 2016

• 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 — Dec 2019 (exp)

### 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

• 2019

• 2019

• 2016

• 2019

• 2019

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

###### Teaching
• WiSe 2017/2018

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

###### Blog Posts

coming very soon ...