output
20092026
most citedImproving fairness in machine learning systems: What do industry practitioners need?

758 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2013 · cs.LGShow all

3 papers · 2 filters

cs.LG2013★ 20 cited

Least Squares Revisited: Scalable Approaches for Multi-class Prediction

Alekh Agarwal, Sham M. Kakade, Nikos Karampatziakis +2

This work provides simple algorithms for multi-class (and multi-label) prediction in settings where both the number of examples n and the data dimension d are relatively large. The…

cs.LG2013★ 5 cited

An efficient distributed learning algorithm based on effective local functional approximations

Dhruv Mahajan, Nikunj Agrawal, S. Sathiya Keerthi +2

Scalable machine learning over big data is an important problem that is receiving a lot of attention in recent years. On popular distributed environments such as Hadoop running on…

cs.LG2013★ 9 cited

Normalized Online Learning

Stephane Ross, Paul Mineiro, John Langford

We introduce online learning algorithms which are independent of feature scales, proving regret bounds dependent on the ratio of scales existent in the data rather than the absolut…