• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 54 matches

• 2024
• 
  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 abs/2403.11678 (2024)
• 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: 1223-1226
• 
  Veronika Shilova, Ludovic Dos Santos, Flavian Vasile, Gaëtan Racic, Ugo Tanielian:
  AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting. CoRR abs/2309.11507 (2023)
• 
  Antoine Schnepf, Flavian Vasile, Ugo Tanielian:
  3DGEN: A GAN-based approach for generating novel 3D models from image data. CoRR abs/2312.08094 (2023)
• 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: 4772-4773
• 
  Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile:
  CONSEQUENCES - Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys 2022: 654-657
• 
  Benjamin Heymann, Flavian Vasile, David Rohde:
  Welfare-Optimized Recommender Systems. CoRR abs/2206.13845 (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 abs/2208.06263 (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 abs/2209.08642 (2022)
• 2021
• 
  Imad Aouali, Sergey Ivanov, Mike Gartrell, David Rohde, Flavian Vasile, Victor Zaytsev, Diego Legrand:
  Combining Reward and Rank Signals for Slate Recommendation. CoRR abs/2107.12455 (2021)
• 2020
• 
  Louis Faury, Ugo Tanielian, Elvis Dohmatob, Elena Smirnova, Flavian Vasile:
  Distributionally Robust Counterfactual Risk Minimization. AAAI 2020: 3850-3857
• 
  Olivier Jeunen, David Rohde, Flavian Vasile, Martin Bompaire:
  Joint Policy-Value Learning for Recommendation. KDD 2020: 1223-1233
• 
  Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile:
  BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals. KDD 2020: 783-793
• 
  Thorsten Joachims, Yves Raimond, Olivier Koch, Maria Dimakopoulou, Flavian Vasile, Adith Swaminathan:
  REVEAL 2020: Bandit and Reinforcement Learning from User Interactions. RecSys 2020: 628-629
• 
  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: 742-744
• 
  Flavian Vasile, David Rohde, Olivier Jeunen, Amine Benhalloum:
  A Gentle Introduction to Recommendation as Counterfactual Policy Learning. UMAP 2020: 392-393
• 
  Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile:
  BLOB : A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals. CoRR abs/2008.12504 (2020)
• 
  Philomène Chagniot, Flavian Vasile, David Rohde:
  From Clicks to Conversions: Recommendation for long-term reward. CoRR abs/2009.00497 (2020)
• 
  Otmane Sakhi, Louis Faury, Flavian Vasile:
  Improving Offline Contextual Bandits with Distributional Robustness. CoRR abs/2011.06835 (2020)
• 2019
• 
  Flavian Vasile, Stephen Bonner:
  Causal Embeddings for Recommendation: An Extended Abstract. IJCAI 2019: 6236-6240
• 
  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: 568-569
• 
  Ugo Tanielian, Flavian Vasile:
  Relaxed softmax for PU learning. RecSys 2019: 119-127
• 
  Stephen Bonner, Flavian Vasile:
  Causal Embeddings for Recommendation: An Extended Abstract. CoRR abs/1904.05165 (2019)
• 
  Dmytro Mykhaylov, David Rohde, Flavian Vasile:
  Three Methods for Training on Bandit Feedback. CoRR abs/1904.10799 (2019)
• 
  Louis Faury, Ugo Tanielian, Flavian Vasile, Elena Smirnova, Elvis Dohmatob:
  Distributionally Robust Counterfactual Risk Minimization. CoRR abs/1906.06211 (2019)
• 
  Olivier Jeunen, David Rohde, Flavian Vasile:
  On the Value of Bandit Feedback for Offline Recommender System Evaluation. CoRR abs/1907.12384 (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 abs/1909.04190 (2019)
• 
  Ugo Tanielian, Flavian Vasile:
  Relaxed Softmax for learning from Positive and Unlabeled data. CoRR abs/1909.08079 (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 abs/1909.08471 (2019)
• 
  Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile:
  Reconsidering Analytical Variational Bounds for Output Layers of Deep Networks. CoRR abs/1910.00877 (2019)

skipping 24 more matches