Flavian Vasile

According to our database, Flavian Vasile authored at least 44 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploring 3D-aware Latent Spaces for Efficiently Learning Numerous Scenes.

Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile, Jérémie Mary, Andrew Comport, Valérie Gouet-Brunet

CoRR, 2024

2023

3DGEN: A GAN-based approach for generating novel 3D models from image data.

Antoine Schnepf, Flavian Vasile, Ugo Tanielian

CoRR, 2023

AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting.

Veronika Shilova, Ludovic Dos Santos, Flavian Vasile, Gaëtan Racic, Ugo Tanielian

CoRR, 2023

CONSEQUENCES - The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems.

Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile, Yixin Wang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation.

Imad Aouali, Amine Benhalloum, Martin Bompaire, Benjamin Heymann, Olivier Jeunen, David Rohde, Otmane Sakhi, Flavian Vasile

CoRR, 2022

A Scalable Probabilistic Model for Reward Optimizing Slate Recommendation.

Imad Aouali, Achraf Ait Sidi Hammou, Sergey Ivanov, Otmane Sakhi, David Rohde, Flavian Vasile

CoRR, 2022

Welfare-Optimized Recommender Systems.

Benjamin Heymann, Flavian Vasile, David Rohde

CoRR, 2022

CONSEQUENCES - Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems.

Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search.

Imad Aouali, Amine Benhalloum, Martin Bompaire, Achraf Ait Sidi Hammou, Sergey Ivanov, Benjamin Heymann, David Rohde, Otmane Sakhi, Flavian Vasile, Maxime Vono

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Combining Reward and Rank Signals for Slate Recommendation.

Imad Aouali, Sergey Ivanov, Mike Gartrell, David Rohde, Flavian Vasile, Victor Zaytsev, Diego Legrand

CoRR, 2021

2020

Improving Offline Contextual Bandits with Distributional Robustness.

Otmane Sakhi, Louis Faury, Flavian Vasile

CoRR, 2020

From Clicks to Conversions: Recommendation for long-term reward.

Philomène Chagniot, Flavian Vasile, David Rohde

CoRR, 2020

A Gentle Introduction to Recommendation as Counterfactual Policy Learning.

Flavian Vasile, David Rohde, Olivier Jeunen, Amine Benhalloum

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

Bayesian Value Based Recommendation: A modelling based alternative to proxy and counterfactual policy based recommendation.

David Rohde, Flavian Vasile, Sergey Ivanov, Otmane Sakhi

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

REVEAL 2020: Bandit and Reinforcement Learning from User Interactions.

Thorsten Joachims, Yves Raimond, Olivier Koch, Maria Dimakopoulou, Flavian Vasile, Adith Swaminathan

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals.

Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Joint Policy-Value Learning for Recommendation.

Olivier Jeunen, David Rohde, Flavian Vasile, Martin Bompaire

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Distributionally Robust Counterfactual Risk Minimization.

Louis Faury, Ugo Tanielian, Elvis Dohmatob, Elena Smirnova, Flavian Vasile

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Reconsidering Analytical Variational Bounds for Output Layers of Deep Networks.

Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile

CoRR, 2019

Learning from Bandit Feedback: An Overview of the State-of-the-art.

Olivier Jeunen, Dmytro Mykhaylov, David Rohde, Flavian Vasile, Alexandre Gilotte, Martin Bompaire

CoRR, 2019

Relaxed Softmax for learning from Positive and Unlabeled data.

Ugo Tanielian, Flavian Vasile

CoRR, 2019

Recommendation System-based Upper Confidence Bound for Online Advertising.

Nhan Nguyen-Thanh, Dana Marinca, Kinda Khawam, David Rohde, Flavian Vasile, Elena Simona Lohan, Steven Martin, Dominique Quadri

CoRR, 2019

On the Value of Bandit Feedback for Offline Recommender System Evaluation.

Olivier Jeunen, David Rohde, Flavian Vasile

CoRR, 2019

Three Methods for Training on Bandit Feedback.

Dmytro Mykhaylov, David Rohde, Flavian Vasile

CoRR, 2019

Relaxed softmax for PU learning.

Ugo Tanielian, Flavian Vasile

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

REVEAL 2019: closing the loop with the real world: reinforcement and robust estimators for recommendation.

Thorsten Joachims, Maria Dimakopoulou, Adith Swaminathan, Yves Raimond, Olivier Koch, Flavian Vasile

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Causal Embeddings for Recommendation: An Extended Abstract.

Flavian Vasile, Stephen Bonner

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising.

David Rohde, Stephen Bonner, Travis Dunlop, Flavian Vasile, Alexandros Karatzoglou

CoRR, 2018

Adversarial Training of Word2Vec for Basket Completion.

Ugo Tanielian, Mike Gartrell, Flavian Vasile

CoRR, 2018

Neural Generative Models for Global Optimization with Gradients.

Louis Faury, Flavian Vasile, Clément Calauzènes, Olivier Fercoq

CoRR, 2018

Siamese Cookie Embedding Networks for Cross-Device User Matching.

Ugo Tanielian, Anne-Marie Tousch, Flavian Vasile

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

REVEAL 2018: offline evaluation for recommender systems.

Thorsten Joachims, Adith Swaminathan, Yves Raimond, Olivier Koch, Flavian Vasile

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

DLRS 2018: third workshop on deep learning for recommender systems.

Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander Dieleman

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Causal embeddings for recommendation.

Stephen Bonner, Flavian Vasile

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Rover Descent: Learning to Optimize by Learning to Navigate on Prototypical Loss Surfaces.

Louis Faury, Flavian Vasile

Proceedings of the Learning and Intelligent Optimization - 12th International Conference, 2018

2017

Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks.

Elena Smirnova, Flavian Vasile

Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, 2017

Specializing Joint Representations for the task of Product Recommendation.

Thomas Nedelec, Elena Smirnova, Flavian Vasile

Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, 2017

Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions.

Flavian Vasile, Damien Lefortier, Olivier Chapelle

Proceedings of the ADKDD'17, Halifax, NS, Canada, August 13 - 17, 2017, 2017

2016

Cost-sensitive Learning for Bidding in Online Advertising Auctions.

Flavian Vasile, Damien Lefortier

CoRR, 2016

Meta-Prod2Vec: Product Embeddings Using Side-Information for Recommendation.

Flavian Vasile, Elena Smirnova, Alexis Conneau

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

2010

Resolving Surface Forms to Wikipedia Topics.

Yiping Zhou, Lan Nie, Omid Rouhani-Kalleh, Flavian Vasile, Scott Gaffney

Proceedings of the COLING 2010, 2010

2009

Learning a Named Entity Tagger from Gazetteers with the Partial Perceptron.

Andrew Carlson, Scott Gaffney, Flavian Vasile

Proceedings of the Learning by Reading and Learning to Read, 2009

2007

Cost-based Analysis of Multiple Counter-Examples.

Flavian Vasile, Samik Basu

Proceedings of the Nineteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2007), 2007

2006

TRIPPER: Rule Learning Using Taxonomies.

Flavian Vasile, Adrian Silvescu, Dae-Ki Kang, Vasant G. Honavar

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006