266 citations · 370 across the 5 of their papers we have counts for
4 papers · 1 filter
Field-aware Factorization Machines in a Real-world Online Advertising System
Yuchin Juan, Damien Lefortier, Olivier Chapelle
Predicting user response is one of the core machine learning tasks in computational advertising. Field-aware Factorization Machines (FFM) have recently been established as a state-…
Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions
Flavian Vasile, Damien Lefortier, Olivier Chapelle
One of the most challenging problems in computational advertising is the prediction of click-through and conversion rates for bidding in online advertising auctions. An unaddressed…
The Greedy Miser: Learning under Test-time Budgets
Zhixiang Xu, Kilian Weinberger, Olivier Chapelle
As machine learning algorithms enter applications in industrial settings, there is increased interest in controlling their cpu-time during testing. The cpu-time consists of the run…
A Reliable Effective Terascale Linear Learning System
Alekh Agarwal, Olivier Chapelle, Miroslav Dudik +1
We present a system and a set of techniques for learning linear predictors with convex losses on terascale datasets, with trillions of features, {The number of features here refers…