6.3k citations · 20.9k across the 54 of their papers we have counts for
Showing 2012Show all
2 papers · 1 filter
cs.GT2012★ 1 cited
On Calibrated Predictions for Auction Selection Mechanisms
H. Brendan McMahan, Omkar Muralidharan
Calibration is a basic property for prediction systems, and algorithms for achieving it are well-studied in both statistics and machine learning. In many applications, however, the…
cs.LG2012★ 31 cited
No-Regret Algorithms for Unconstrained Online Convex Optimization
Matthew Streeter, H. Brendan McMahan
Some of the most compelling applications of online convex optimization, including online prediction and classification, are unconstrained: the natural feasible set is R^n. Existing…