I am a student finishing a master’s program in Econometrics and Management Science at Erasmus University of Rotterdam. The master’s track I am undertaking is Operations Research & Quantitative Logistics. For my master’s thesis, I am advised by Michel van de Velden. For the related research, I visited Berkeley Artificial Intelligence Research lab (BAIR), where I was advised by Pieter Abbeel. I have a Bachelor’s degree in Industrial and Applied Mathematics from Delft University of Technology. For my bachelor’s thesis, I was advised by both Marco Loog and Frank van der Meulen.


Friso H. Kingma, Pieter Abbeel, Jonathan Ho
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables
Proceedings of the International Conference on Machine Learning (ICML), Long Beach, 2019
[paper] [citation] [talk] [slides] [poster] [code] [berkeley lectures] [blogpost]

Friso H. Kingma
BagDrop: Computationally Feasible Approximate Bagging with Neural Networks
Bsc. thesis, Delft University of Technology, 2017
[thesis] [citation]