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- Michael Kearns, Seth Neel, Aaron Roth, Zhiwei Steven Wu
- ICML
- 2018

The most prevalent notions of fairness in machine learning are statistical definitions: they fix a small collection of high-level, pre-defined groups (such as race or gender), and then ask forâ€¦ (More)

- Matthew Joseph, Michael Kearns, Jamie Morgenstern, Seth Neel, Aaron Roth
- ArXiv
- 2016

We study fairness in linear bandit problems. Starting from the notion of meritocratic fairness introduced in Joseph et al. [2016], we carry out a more refined analysis of a more general problem,â€¦ (More)

- Richard Berk, Hoda Heidari, +5 authors Aaron Roth
- ArXiv
- 2017

We introduce a flexible family of fairness regularizers for (linear and logistic) regression problems. These regularizers all enjoy convexity, permitting fast optimization, and they span the rangeâ€¦ (More)

We study fairness in infinite linear bandit problems. Starting from the notion of meritocratic fairness introduced in Joseph et al. [9], we expand their notion of fairness for infinite action spacesâ€¦ (More)

- Katrina Ligett, Seth Neel, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu
- NIPS
- 2017

Traditional approaches to differential privacy assume a fixed privacy requirement Îµ for a computation, and attempt to maximize the accuracy of the computation subject to the privacy constraint. Asâ€¦ (More)

We study fairness in the linear bandit setting. Starting from the notion of meritocratic fairness introduced in Joseph et al. [11], we introduce a sufficiently more general model in whichâ€¦ (More)

- Hadi Elzayn, Shahin Jabbari, +4 authors Zachary Schutzman
- 2018

Settings such as lending and policing can be modeled by a centralized agent allocating a resource (loans or police officers) amongst several groups, in order to maximize some objective (loans givenâ€¦ (More)

- Seth Neel
- 2012

We investigate the genus theory of Binary Quadratic Forms. Genus theory is a classification of all the ideals of quadratic fields k = Q( âˆš m). Gauss showed that if we define an equivalence relationâ€¦ (More)

- Michael Kearns, Seth Neel, Aaron Roth, Zhiwei Steven Wu
- ArXiv
- 2018

Kearns et al. [2018] recently proposed a notion of rich subgroup fairness intended to bridge the gap between statistical and individual notions of fairness. Rich subgroup fairness picks a statisticalâ€¦ (More)

- Seth Neel
- 2015

Section 1 comprises a literature review, which introduces the reader to Mahalanobis Matching and the Rubin causal framework, summarizes key papers on anely invariant matching methods, and introducesâ€¦ (More)