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 2015 · cs.GTShow all

5 papers · 2 filters

cs.GT2015★ 1 cited

Rate of Price Discovery in Iterative Combinatorial Auctions

Jacob Abernethy, Sébastien Lahaie, Matus Telgarsky

We study a class of iterative combinatorial auctions which can be viewed as subgradient descent methods for the problem of pricing bundles to balance supply and demand. We provide…

cs.GT2015★ 16 cited

No-Regret Learning in Bayesian Games

Jason Hartline, Vasilis Syrgkanis, Eva Tardos

Recent price-of-anarchy analyses of games of complete information suggest that coarse correlated equilibria, which characterize outcomes resulting from no-regret learning dynamics,…

cs.GT2015★ 106 cited

Fast Convergence of Regularized Learning in Games

Vasilis Syrgkanis, Alekh Agarwal, Haipeng Luo +1

We show that natural classes of regularized learning algorithms with a form of recency bias achieve faster convergence rates to approximate efficiency and to coarse correlated equi…

cs.GT2015★ 8 cited

Econometrics for Learning Agents

Denis Nekipelov, Vasilis Syrgkanis, Eva Tardos

The main goal of this paper is to develop a theory of inference of player valuations from observed data in the generalized second price auction without relying on the Nash equilibr…

cs.GT2015★ 141 cited

Incentivizing High Quality Crowdwork

Chien-Ju Ho, Aleksandrs Slivkins, Siddharth Suri +1

We study the causal effects of financial incentives on the quality of crowdwork. We focus on performance-based payments (PBPs), bonus payments awarded to workers for producing high…