5 citations · 7 across the 2 of their papers we have counts for
3 papers
cs.LG2020★ 2 cited
Interpretable Assessment of Fairness During Model Evaluation
Amir Sepehri, Cyrus DiCiccio
For companies developing products or algorithms, it is important to understand the potential effects not only globally, but also on sub-populations of users. In particular, it is i…
cs.SI2020★ 5 cited
Fairness through Experimentation: Inequality in A/B testing as an approach to responsible design
Guillaume Saint-Jacques, Amir Sepehri, Nicole Li +1
As technology continues to advance, there is increasing concern about individuals being left behind. Many businesses are striving to adopt responsible design practices and avoid an…
stat.CO2018
Bouncy Hybrid Sampler as a Unifying Device
Jelena Markovic, Amir Sepehri
This work introduces a class of rejection-free Markov chain Monte Carlo (MCMC) samplers, named the Bouncy Hybrid Sampler, which unifies several existing methods from the literature…