research
∙
10/26/2020
Interpretable Assessment of Fairness During Model Evaluation
For companies developing products or algorithms, it is important to unde...
share
research
∙
06/19/2020
Scalable Assessment and Mitigation Strategies for Fairness in Rankings
Motivated by industrial-scale applications, we consider two specific are...
research
∙
02/12/2018
Bouncy Hybrid Sampler as a Unifying Device
This work introduces a class of rejection-free Markov chain Monte Carlo ...
research
∙
11/20/2017
Non-reversible, tuning- and rejection-free Markov chain Monte Carlo via iterated random functions
In this work we present a non-reversible, tuning- and rejection-free Mar...
research
∙
08/31/2016