TRIPPER: Rule Learning Using Taxonomies. - Flavian Vasile; Adrian Silvescu; Dae-Ki Kang; Vasant G. Honavar (PAKDD, 2006)

Cost-based Analysis of Multiple Counter-Examples. - Flavian Vasile; Samik Basu 001 (SEKE, 2007)

Learning a Named Entity Tagger from Gazetteers with the Partial Perceptron. - Andrew Carlson; Scott Gaffney; Flavian Vasile (AAAI Spring Symposium: Learning by Reading and Learning to Read, 2009)

Resolving Surface Forms to Wikipedia Topics. - Yiping Zhou; Lan Nie; Omid Rouhani-Kalleh; Flavian Vasile; Scott Gaffney (COLING, 2010)

Meta-Prod2Vec: Product Embeddings Using Side-Information for Recommendation. - Flavian Vasile; Elena Smirnova; Alexis Conneau (RecSys, 2016)

Cost-sensitive Learning for Bidding in Online Advertising Auctions. - Flavian Vasile; Damien Lefortier (CoRR, 2016)

Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions. - Flavian Vasile; Damien Lefortier; Olivier Chapelle (ADKDD@KDD, 2017)

Specializing Joint Representations for the task of Product Recommendation. - Thomas Nedelec; Elena Smirnova; Flavian Vasile (DLRS@RecSys, 2017)

Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks. - Elena Smirnova; Flavian Vasile (DLRS@RecSys, 2017)

Rover Descent: Learning to Optimize by Learning to Navigate on Prototypical Loss Surfaces. - Louis Faury; Flavian Vasile (LION, 2018)

Causal embeddings for recommendation. - Stephen Bonner; Flavian Vasile (RecSys, 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 (RecSys, 2018)

REVEAL 2018: offline evaluation for recommender systems. - Thorsten Joachims; Adith Swaminathan; Yves Raimond; Olivier Koch; Flavian Vasile (RecSys, 2018)

Siamese Cookie Embedding Networks for Cross-Device User Matching. - Ugo Tanielian; Anne-Marie Tousch; Flavian Vasile (WWW (Companion Volume), 2018)

Neural Generative Models for Global Optimization with Gradients. - Louis Faury; Flavian Vasile; Clément Calauzènes; Olivier Fercoq (CoRR, 2018)

Adversarial Training of Word2Vec for Basket Completion. - Ugo Tanielian; Mike Gartrell; Flavian Vasile (CoRR, 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)

Causal Embeddings for Recommendation: An Extended Abstract. - Flavian Vasile; Stephen Bonner (IJCAI, 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 (RecSys, 2019)

Relaxed softmax for PU learning. - Ugo Tanielian; Flavian Vasile (RecSys, 2019)

Three Methods for Training on Bandit Feedback. - Dmytro Mykhaylov; David Rohde; Flavian Vasile (CoRR, 2019)

On the Value of Bandit Feedback for Offline Recommender System Evaluation. - Olivier Jeunen; David Rohde; 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 001; Dominique Quadri (CoRR, 2019)

Relaxed Softmax for learning from Positive and Unlabeled data. - Ugo Tanielian; 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)

Reconsidering Analytical Variational Bounds for Output Layers of Deep Networks. - Otmane Sakhi; Stephen Bonner; David Rohde; Flavian Vasile (CoRR, 2019)

Distributionally Robust Counterfactual Risk Minimization. - Louis Faury; Ugo Tanielian; Elvis Dohmatob; Elena Smirnova; Flavian Vasile (AAAI, 2020)

Joint Policy-Value Learning for Recommendation. - Olivier Jeunen; David Rohde; Flavian Vasile; Martin Bompaire (KDD, 2020)

BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals. - Otmane Sakhi; Stephen Bonner; David Rohde; Flavian Vasile (KDD, 2020)

REVEAL 2020: Bandit and Reinforcement Learning from User Interactions. - Thorsten Joachims; Yves Raimond; Olivier Koch; Maria Dimakopoulou; Flavian Vasile; Adith Swaminathan (RecSys, 2020)

Bayesian Value Based Recommendation: A modelling based alternative to proxy and counterfactual policy based recommendation. - David Rohde; Flavian Vasile; Sergey Ivanov; Otmane Sakhi (RecSys, 2020)

A Gentle Introduction to Recommendation as Counterfactual Policy Learning. - Flavian Vasile; David Rohde; Olivier Jeunen; Amine Benhalloum (UMAP, 2020)

From Clicks to Conversions: Recommendation for long-term reward. - Philomène Chagniot; Flavian Vasile; David Rohde (CoRR, 2020)

Improving Offline Contextual Bandits with Distributional Robustness. - Otmane Sakhi; Louis Faury; Flavian Vasile (CoRR, 2020)

Combining Reward and Rank Signals for Slate Recommendation. - Imad Aouali; Sergey Ivanov; Mike Gartrell; David Rohde; Flavian Vasile; Victor Zaytsev; Diego Legrand (CoRR, 2021)

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 (KDD, 2022)

CONSEQUENCES - Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. - Olivier Jeunen; Thorsten Joachims; Harrie Oosterhuis; Yuta Saito; Flavian Vasile (RecSys, 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)

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)

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 002 (RecSys, 2023)

AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting. - Veronika Shilova; Ludovic Dos Santos; Flavian Vasile; Gaëtan Racic; Ugo Tanielian (CoRR, 2023)

3DGEN: A GAN-based approach for generating novel 3D models from image data. - Antoine Schnepf; Flavian Vasile; Ugo Tanielian (CoRR, 2023)

CONSEQUENCES - The 3rd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. - Olivier Jeunen; Harrie Oosterhuis; Yuta Saito; Flavian Vasile; Yixin Wang 002 (RecSys, 2024)

Welfare-Optimized Recommender Systems. - Benjamin Heymann; Flavian Vasile; David Rohde (SURE@RecSys, 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 I. Comport; Valérie Gouet-Brunet (CoRR, 2024)

Scaled Inverse Graphics: Efficiently Learning Large Sets of 3D Scenes. - Karim Kassab; Antoine Schnepf; Jean-Yves Franceschi; Laurent Caraffa; Flavian Vasile; Jérémie Mary; Andrew I. Comport; Valérie Gouet-Brunet (CoRR, 2024)

Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder. - Antoine Schnepf; Karim Kassab; Jean-Yves Franceschi; Laurent Caraffa; Flavian Vasile; Jérémie Mary; Andrew I. Comport; Valérie Gouet-Brunet (ICLR, 2025)