mixheikk
Associate researcher, Telefónica I+D, mostly privacy-preserving machine learning
University of HelsinkiHelsinki, Finland
Pinned Repositories
apc-anonymizer
d3p
An implementation of the differentially private variational inference algorithm for NumPyro.
dca-nips2017
Differentially private learning on distributed data (NIPS 2017)
DP-cross-silo-federated-learning
Code for the DP cross-silo federated learning paper
DPPVI
Differentially Private Partitioned Variational Inference.
AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
massive-ironman
mixheikk.github.io
rebiber
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
tmlr-style-file
LaTeX style file for Transactions on Machine Learning Research
mixheikk's Repositories
mixheikk/mixheikk.github.io
mixheikk/AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
mixheikk/massive-ironman
mixheikk/rebiber
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
mixheikk/tmlr-style-file
LaTeX style file for Transactions on Machine Learning Research