Publications

Peer Reviewed Publications:

2017

Attribution Modeling Increases Efficiency of Bidding in Display Advertising, E. Diemert, J. Meynet, P. Galland & D. Lefortier, AdKDD & TargetAd Workshop, KDD 2017 (Best Paper Award Finalist)

Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions, F. Vasile, D. Lefortier, & O. Chapelle, AdKDD & TargetAd Workshop, KDD 2017

Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks, E. Smirnova & F. Vasile, Deep Learning Workshop, RecSys 2017

Specializing Joint Representations for the task of Product Recommendation, T. Nedelec, E. Smirnova & F. Vasile, Deep Learning Workshop, RecSys 2017

Stochastic Bandit Models for Delayed Conversions, C. Vernade, O. Cappe, V. Perchet, UAI 2017

Memorizing the Playout Policy,  T. Cazenave & E. Diemert, Computer Games Workshop, IJCAI 2017

Sparse Stochastic Bandits, J. Kwon, V. Perchet &  C.Vernade, COLT 2017

Efficient Vector Representation for Documents through Corruption, M. Chen, ICLR 2017

Tighter bounds lead to improved classifiers, N. Le Roux, ICLR 2017

Field-aware Factorization Machines in a Real-world Online Advertising System, Y. Juan, D. Lefortier and O. Chapelle, WWW 2017

 

2016

Meta-Prod2Vec – Product Embeddings Using Side-Information for Recommendation, F. Vasile, E. Smirnova and A. Conneau, RecSys 2016

 

2015

Cost-sensitive Learning for Bidding in Online Advertising Auctions,  F. Vasile and D. Lefortier, NIPS ML for e-Commerce 2015

Offline evaluation of response prediction in online advertising auctions, O. Chapelle, WWW, 2015

 

2014

Modeling delayed feedback in display advertising, O. Chapelle, KDD, 2014

Classifier cascades and trees for minimizing feature evaluation cost, Z. Xu, M. Kusner, K. Weinberger, M. Chen, and O. Chapelle, JMLR, 15:2113–2144, 2014

 

Pre-Prints & Internal Reports:

A Protocol to Reduce Bias & Variance in Head-to-Head Tests, A. Boyko, Z. Harchaoui, T. Nedelec & V. Perchet, Criteo Internal Report, ID-RSC-162

A Comparative Study of Counterfactual Estimators, T. Nedelec, N. Le Roux & V. Perchet, Arxiv, 2017

Distributed SAGA: Maintaining Linear Convergence Rate with Limited Communication, C. Calauzenes & N. Le Roux, Arxiv, 2017

 

 

 

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