Flavian Vasile

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 50

Top Topics

Risk Minimization

Online Advertising

Contextual Bandit

Recommender Systems

Top Venues

Publications

Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile, Jérémie Mary, Andrew Comport, Valérie Gouet-Brunet
Exploring 3D-aware Latent Spaces for Efficiently Learning Numerous Scenes. CoRR (2024)
Antoine Schnepf, Flavian Vasile, Ugo Tanielian
3DGEN: A GAN-based approach for generating novel 3D models from image data. CoRR (2023)
Veronika Shilova, Ludovic Dos Santos, Flavian Vasile, Gaëtan Racic, Ugo Tanielian
AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting. CoRR (2023)
Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile, Yixin Wang
CONSEQUENCES - The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys (2023)
Benjamin Heymann, Flavian Vasile, David Rohde
Welfare-Optimized Recommender Systems. CoRR (2022)
Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile
CONSEQUENCES - Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys (2022)
Imad Aouali, Amine Benhalloum, Martin Bompaire, Benjamin Heymann, Olivier Jeunen, David Rohde, Otmane Sakhi, Flavian Vasile
Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation. CoRR (2022)
Imad Aouali, Amine Benhalloum, Martin Bompaire, Achraf Ait Sidi Hammou, Sergey Ivanov, Benjamin Heymann, David Rohde, Otmane Sakhi, Flavian Vasile, Maxime Vono
Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search. KDD (2022)
Imad Aouali, Achraf Ait Sidi Hammou, Sergey Ivanov, Otmane Sakhi, David Rohde, Flavian Vasile
A Scalable Probabilistic Model for Reward Optimizing Slate Recommendation. CoRR (2022)
Jules Samaran, Ugo Tanielian, Romain Beaumont, Flavian Vasile
What Users Want? WARHOL: A Generative Model for Recommendation. CoRR (2021)
Imad Aouali, Sergey Ivanov, Mike Gartrell, David Rohde, Flavian Vasile, Victor Zaytsev, Diego Legrand
Combining Reward and Rank Signals for Slate Recommendation. CoRR (2021)
Louis Faury, Ugo Tanielian, Elvis Dohmatob, Elena Smirnova, Flavian Vasile
Distributionally Robust Counterfactual Risk Minimization. AAAI (2020)
Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile
BLOB : A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals. CoRR (2020)
Flavian Vasile, David Rohde, Olivier Jeunen, Amine Benhalloum
A Gentle Introduction to Recommendation as Counterfactual Policy Learning. UMAP (2020)
Otmane Sakhi, Louis Faury, Flavian Vasile
Improving Offline Contextual Bandits with Distributional Robustness. CoRR (2020)
David Rohde, Flavian Vasile, Sergey Ivanov, Otmane Sakhi
Bayesian Value Based Recommendation: A modelling based alternative to proxy and counterfactual policy based recommendation. RecSys (2020)
Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile
BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals. KDD (2020)
Olivier Jeunen, David Rohde, Flavian Vasile, Martin Bompaire
Joint Policy-Value Learning for Recommendation. KDD (2020)
Thorsten Joachims, Yves Raimond, Olivier Koch, Maria Dimakopoulou, Flavian Vasile, Adith Swaminathan
REVEAL 2020: Bandit and Reinforcement Learning from User Interactions. RecSys (2020)
Philomène Chagniot, Flavian Vasile, David Rohde
From Clicks to Conversions: Recommendation for long-term reward. CoRR (2020)
Thorsten Joachims, Maria Dimakopoulou, Adith Swaminathan, Yves Raimond, Olivier Koch, Flavian Vasile
REVEAL 2019: closing the loop with the real world: reinforcement and robust estimators for recommendation. RecSys (2019)
Louis Faury, Ugo Tanielian, Flavian Vasile, Elena Smirnova, Elvis Dohmatob
Distributionally Robust Counterfactual Risk Minimization. CoRR (2019)
Flavian Vasile, Stephen Bonner
Causal Embeddings for Recommendation: An Extended Abstract. IJCAI (2019)
Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile
Reconsidering Analytical Variational Bounds for Output Layers of Deep Networks. CoRR (2019)
Stephen Bonner, Flavian Vasile
Causal Embeddings for Recommendation: An Extended Abstract. CoRR (2019)
Ugo Tanielian, Flavian Vasile
Relaxed softmax for PU learning. RecSys (2019)
Olivier Jeunen, Dmytro Mykhaylov, David Rohde, Flavian Vasile, Alexandre Gilotte, Martin Bompaire
Learning from Bandit Feedback: An Overview of the State-of-the-art. CoRR (2019)
Olivier Jeunen, David Rohde, Flavian Vasile
On the Value of Bandit Feedback for Offline Recommender System Evaluation. CoRR (2019)
Nhan Nguyen-Thanh, Dana Marinca, Kinda Khawam, David Rohde, Flavian Vasile, Elena Simona Lohan, Steven Martin, Dominique Quadri
Recommendation System-based Upper Confidence Bound for Online Advertising. CoRR (2019)
Dmytro Mykhaylov, David Rohde, Flavian Vasile
Three Methods for Training on Bandit Feedback. CoRR (2019)
Ugo Tanielian, Flavian Vasile
Relaxed Softmax for learning from Positive and Unlabeled data. CoRR (2019)
Ugo Tanielian, Anne-Marie Tousch, Flavian Vasile
Siamese Cookie Embedding Networks for Cross-Device User Matching. CoRR (2018)
Ugo Tanielian, Anne-Marie Tousch, Flavian Vasile
Siamese Cookie Embedding Networks for Cross-Device User Matching. WWW (Companion Volume) (2018)
Stephen Bonner, Flavian Vasile
Causal embeddings for recommendation. RecSys (2018)
Louis Faury, Flavian Vasile, Clément Calauzènes, Olivier Fercoq
Neural Generative Models for Global Optimization with Gradients. CoRR (2018)
Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander Dieleman
DLRS 2018: third workshop on deep learning for recommender systems. RecSys (2018)
Louis Faury, Flavian Vasile
Rover Descent: Learning to optimize by learning to navigate on prototypical loss surfaces. CoRR (2018)
Ugo Tanielian, Mike Gartrell, Flavian Vasile
Adversarial Training of Word2Vec for Basket Completion. CoRR (2018)
David Rohde, Stephen Bonner, Travis Dunlop, Flavian Vasile, Alexandros Karatzoglou
RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising. CoRR (2018)
Louis Faury, Flavian Vasile
Rover Descent: Learning to Optimize by Learning to Navigate on Prototypical Loss Surfaces. LION (2018)
Thorsten Joachims, Adith Swaminathan, Yves Raimond, Olivier Koch, Flavian Vasile
REVEAL 2018: offline evaluation for recommender systems. RecSys (2018)
Thomas Nedelec, Elena Smirnova, Flavian Vasile
Specializing Joint Representations for the task of Product Recommendation. CoRR (2017)
Thomas Nedelec, Elena Smirnova, Flavian Vasile
Specializing Joint Representations for the task of Product Recommendation. DLRS@RecSys (2017)
Stephen Bonner, Flavian Vasile
Causal Embeddings for Recommendation. CoRR (2017)
Flavian Vasile, Damien Lefortier, Olivier Chapelle
Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions. ADKDD@KDD (2017)
Elena Smirnova, Flavian Vasile
Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks. DLRS@RecSys (2017)
Elena Smirnova, Flavian Vasile
Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks. CoRR (2017)
Flavian Vasile, Elena Smirnova, Alexis Conneau
Meta-Prod2Vec - Product Embeddings Using Side-Information for Recommendation. CoRR (2016)
Flavian Vasile, Damien Lefortier
Cost-sensitive Learning for Bidding in Online Advertising Auctions. CoRR (2016)
Flavian Vasile, Elena Smirnova, Alexis Conneau
Meta-Prod2Vec: Product Embeddings Using Side-Information for Recommendation. RecSys (2016)
Yiping Zhou, Lan Nie, Omid Rouhani-Kalleh, Flavian Vasile, Scott Gaffney
Resolving Surface Forms to Wikipedia Topics. COLING (2010)
Andrew Carlson, Scott Gaffney, Flavian Vasile
Learning a Named Entity Tagger from Gazetteers with the Partial Perceptron. AAAI Spring Symposium: Learning by Reading and Learning to Read (2009)
Flavian Vasile, Samik Basu
Cost-based Analysis of Multiple Counter-Examples. SEKE (2007)
Flavian Vasile, Adrian Silvescu, Dae-Ki Kang, Vasant G. Honavar
TRIPPER: Rule Learning Using Taxonomies. PAKDD (2006)