Search Results - Vasile, Flavian

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  1. 1
    Relaxed Softmax for learning from Positive and Unlabeled data

    Relaxed Softmax for learning from Positive and Unlabeled data by Tanielian, Ugo, Vasile, Flavian

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  2. 2
    Causal Embeddings for Recommendation

    Causal Embeddings for Recommendation by Bonner, Stephen, Vasile, Flavian

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  3. 3
    Distributionally Robust Counterfactual Risk Minimization

    Distributionally Robust Counterfactual Risk Minimization by Faury, Louis, Tanielian, Ugo, Dohmatob, Elvis, Smirnova, Elena, Vasile, Flavian

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  4. 4
    Welfare-Optimized Recommender Systems

    Welfare-Optimized Recommender Systems by Heymann, Benjamin, Vasile, Flavian, Rohde, David

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  5. 5
    3DGEN: A GAN-based approach for generating novel 3D models from image data

    3DGEN: A GAN-based approach for generating novel 3D models from image data by Schnepf, Antoine, Vasile, Flavian, Tanielian, Ugo

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  6. 6
    BLOB : A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals

    BLOB : A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals by Sakhi, Otmane, Bonner, Stephen, Rohde, David, Vasile, Flavian

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  7. 7
    Causal Embeddings for Recommendation: An Extended Abstract

    Causal Embeddings for Recommendation: An Extended Abstract by Bonner, Stephen, Vasile, Flavian

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  8. 8
    Siamese Cookie Embedding Networks for Cross-Device User Matching

    Siamese Cookie Embedding Networks for Cross-Device User Matching by Tanielian, Ugo, Tousch, Anne-Marie, Vasile, Flavian

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  9. 9
    Rover Descent: Learning to optimize by learning to navigate on prototypical loss surfaces

    Rover Descent: Learning to optimize by learning to navigate on prototypical loss surfaces by Faury, Louis, Vasile, Flavian

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  10. 10
    Probabilistic Rank and Reward: A Scalable Model for Slate Recommendation

    Probabilistic Rank and Reward: A Scalable Model for Slate Recommendation by Aouali, Imad, Achraf Ait Sidi Hammou, Sakhi, Otmane, Rohde, David, Vasile, Flavian

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  11. 11
    Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks

    Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks by Smirnova, Elena, Vasile, Flavian

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  12. 12
    Improving Offline Contextual Bandits with Distributional Robustness

    Improving Offline Contextual Bandits with Distributional Robustness by Sakhi, Otmane, Faury, Louis, Vasile, Flavian

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  13. 13
    From Clicks to Conversions: Recommendation for long-term reward

    From Clicks to Conversions: Recommendation for long-term reward by Chagniot, Philomène, Vasile, Flavian, Rohde, David

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  14. 14
    Meta-Prod2Vec - Product Embeddings Using Side-Information for Recommendation

    Meta-Prod2Vec - Product Embeddings Using Side-Information for Recommendation by Vasile, Flavian, Smirnova, Elena, Conneau, Alexis

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  15. 15
    Scaled Inverse Graphics: Efficiently Learning Large Sets of 3D Scenes

    Scaled Inverse Graphics: Efficiently Learning Large Sets of 3D Scenes by Kassab, Karim, Schnepf, Antoine, Franceschi, Jean-Yves, Caraffa, Laurent, Vasile, Flavian, Jeremie, Mary, Comport, Andrew, Gouet-Brunet, Valérie

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  16. 16
    Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder

    Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder by Schnepf, Antoine, Kassab, Karim, Franceschi, Jean-Yves, Caraffa, Laurent, Vasile, Flavian, Jeremie, Mary, Comport, Andrew, Gouet-Brunet, Valerie

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  17. 17
    AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting

    AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting by Shilova, Veronika, Ludovic Dos Santos, Vasile, Flavian, Racic, Gaëtan, Tanielian, Ugo

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  18. 18
    What Users Want? WARHOL: A Generative Model for Recommendation

    What Users Want? WARHOL: A Generative Model for Recommendation by Samaran, Jules, Tanielian, Ugo, Beaumont, Romain, Vasile, Flavian

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  19. 19
    Exploring 3D-aware Latent Spaces for Efficiently Learning Numerous Scenes

    Exploring 3D-aware Latent Spaces for Efficiently Learning Numerous Scenes by Schnepf, Antoine, Kassab, Karim, Franceschi, Jean-Yves, Caraffa, Laurent, Vasile, Flavian, Jeremie, Mary, Comport, Andrew, Gouet-Brunet, Valérie

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  20. 20
    On the Value of Bandit Feedback for Offline Recommender System Evaluation

    On the Value of Bandit Feedback for Offline Recommender System Evaluation by Jeunen, Olivier, Rohde, David, Vasile, Flavian

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