Nicolas Usunier

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 79

Top Venues

Publications

Arpit Agarwal, Nicolas Usunier, Alessandro Lazaric, Maximilian Nickel
System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes. CoRR (2024)
Arpit Agarwal, Nicolas Usunier, Alessandro Lazaric, Maximilian Nickel
System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes. FAccT (2024)
Jonas Gehring, Deepak Gopinath, Jungdam Won, Andreas Krause, Gabriel Synnaeve, Nicolas Usunier
Leveraging Demonstrations with Latent Space Priors. Trans. Mach. Learn. Res. 2023 (2023)
Virginie Do, Elvis Dohmatob, Matteo Pirotta, Alessandro Lazaric, Nicolas Usunier
Contextual bandits with concave rewards, and an application to fair ranking. ICLR (2023)
David Liu, Virginie Do, Nicolas Usunier, Maximilian Nickel
Group fairness without demographics using social networks. CoRR (2023)
Melissa Hall, Bobbie Chern, Laura Gustafson, Denisse Ventura, Harshad Kulkarni, Candace Ross, Nicolas Usunier
Towards Reliable Assessments of Demographic Disparities in Multi-Label Image Classifiers. CoRR (2023)
Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Tal Remez, Jérémy Rapin, Artyom Kozhevnikov, Ivan Evtimov, Joanna Bitton, Manish Bhatt, Cristian Canton-Ferrer, Aaron Grattafiori, Wenhan Xiong, Alexandre Défossez, Jade Copet, Faisal Azhar, Hugo Touvron, Louis Martin, Nicolas Usunier, Thomas Scialom, Gabriel Synnaeve
Code Llama: Open Foundation Models for Code. CoRR (2023)
Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier
Online Certification of Preference-Based Fairness for Personalized Recommender Systems (Extended Abstract). IJCAI (2023)
David Liu, Virginie Do, Nicolas Usunier, Maximilian Nickel
Group fairness without demographics using social networks. FAccT (2023)
Alexander Peysakhovich, Christian Kroer, Nicolas Usunier
Implementing Fairness Constraints in Markets Using Taxes and Subsidies. FAccT (2023)
Virginie Do, Nicolas Usunier
Optimizing generalized Gini indices for fairness in rankings. CoRR (2022)
Priya Goyal, Adriana Romero-Soriano, Caner Hazirbas, Levent Sagun, Nicolas Usunier
Fairness Indicators for Systematic Assessments of Visual Feature Extractors. FAccT (2022)
Virginie Do, Elvis Dohmatob, Matteo Pirotta, Alessandro Lazaric, Nicolas Usunier
Contextual bandits with concave rewards, and an application to fair ranking. CoRR (2022)
Alexandre Défossez, Léon Bottou, Francis R. Bach, Nicolas Usunier
A Simple Convergence Proof of Adam and Adagrad. Trans. Mach. Learn. Res. 2022 (2022)
Virginie Do, Nicolas Usunier
Optimizing Generalized Gini Indices for Fairness in Rankings. SIGIR (2022)
Nicolas Usunier, Virginie Do, Elvis Dohmatob
Fast online ranking with fairness of exposure. FAccT (2022)
Priya Goyal, Adriana Romero-Soriano, Caner Hazirbas, Levent Sagun, Nicolas Usunier
Fairness Indicators for Systematic Assessments of Visual Feature Extractors. CoRR (2022)
Yuge Shi, Jeffrey Seely, Philip H. S. Torr, Siddharth Narayanaswamy, Awni Y. Hannun, Nicolas Usunier, Gabriel Synnaeve
Gradient Matching for Domain Generalization. ICLR (2022)
Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier
Online Certification of Preference-Based Fairness for Personalized Recommender Systems. AAAI (2022)
David Lopez-Paz, Diane Bouchacourt, Levent Sagun, Nicolas Usunier
Measuring and signing fairness as performance under multiple stakeholder distributions. CoRR (2022)
Nicolas Usunier, Virginie Do, Elvis Dohmatob
Fast online ranking with fairness of exposure. CoRR (2022)
Alexander Peysakhovich, Christian Kroer, Nicolas Usunier
Parity in Markets - Methods, Costs, and Consequences. CoRR (2022)
Jonas Gehring, Deepak Gopinath, Jungdam Won, Andreas Krause, Gabriel Synnaeve, Nicolas Usunier
Leveraging Demonstrations with Latent Space Priors. CoRR (2022)
Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier
Online certification of preference-based fairness for personalized recommender systems. CoRR (2021)
Virginie Do, Jamal Atif, Jérôme Lang, Nicolas Usunier
Online Selection of Diverse Committees. CoRR (2021)
Eltayeb Ahmed, Luisa M. Zintgraf, Christian A. Schröder de Witt, Nicolas Usunier
A Self-Supervised Auxiliary Loss for Deep RL in Partially Observable Settings. CoRR (2021)
Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier
Two-sided fairness in rankings via Lorenz dominance. NeurIPS (2021)
Yuge Shi, Jeffrey Seely, Philip H. S. Torr, N. Siddharth, Awni Hannun, Nicolas Usunier, Gabriel Synnaeve
Gradient Matching for Domain Generalization. CoRR (2021)
Jonas Gehring, Gabriel Synnaeve, Andreas Krause, Nicolas Usunier
Hierarchical Skills for Efficient Exploration. CoRR (2021)
Jonas Gehring, Gabriel Synnaeve, Andreas Krause, Nicolas Usunier
Hierarchical Skills for Efficient Exploration. NeurIPS (2021)
Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier
Two-sided fairness in rankings via Lorenz dominance. CoRR (2021)
Virginie Do, Jamal Atif, Jérôme Lang, Nicolas Usunier
Online Selection of Diverse Committees. IJCAI (2021)
Alexandre Défossez, Léon Bottou, Francis R. Bach, Nicolas Usunier
On the Convergence of Adam and Adagrad. CoRR (2020)
Pierre-Alexandre Kamienny, Matteo Pirotta, Alessandro Lazaric, Thibault Lavril, Nicolas Usunier, Ludovic Denoyer
Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization. CoRR (2020)
Timothée Lacroix, Guillaume Obozinski, Nicolas Usunier
Tensor Decompositions for Temporal Knowledge Base Completion. ICLR (2020)
Timothée Lacroix, Guillaume Obozinski, Nicolas Usunier
Tensor Decompositions for temporal knowledge base completion. CoRR (2020)
Gregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier, Gabriel Synnaeve
Growing Action Spaces. ICML (2020)
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko
End-to-End Object Detection with Transformers. CoRR (2020)
Clément Calauzènes, Nicolas Usunier
On ranking via sorting by estimated expected utility. NeurIPS (2020)
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko
End-to-End Object Detection with Transformers. ECCV (1) (2020)
Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jérémy Rapin, Morgane Rivière, Fabien Teytaud, Olivier Teytaud, Nicolas Usunier
Fully Parallel Hyperparameter Search: Reshaped Space-Filling. ICML (2020)
Gregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier, Gabriel Synnaeve
Growing Action Spaces. CoRR (2019)
Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H. S. Torr, Nicolas Usunier
Value Propagation Networks. ICLR (Poster) (2019)
Yossi Adi, Neil Zeghidour, Ronan Collobert, Nicolas Usunier, Vitaliy Liptchinsky, Gabriel Synnaeve
To Reverse the Gradient or Not: an Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition. ICASSP (2019)
Nicolas Carion, Gabriel Synnaeve, Alessandro Lazaric, Nicolas Usunier
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning. CoRR (2019)
Nicolas Carion, Nicolas Usunier, Gabriel Synnaeve, Alessandro Lazaric
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning. NeurIPS (2019)
Alexandre Défossez, Nicolas Usunier, Léon Bottou, Francis R. Bach
Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed. CoRR (2019)
Alexandre Défossez, Nicolas Usunier, Léon Bottou, Francis R. Bach
Music Source Separation in the Waveform Domain. CoRR (2019)
Neil Zeghidour, Nicolas Usunier, Gabriel Synnaeve, Ronan Collobert, Emmanuel Dupoux
End-to-End Speech Recognition From the Raw Waveform. CoRR (2018)
Alexandre Défossez, Neil Zeghidour, Nicolas Usunier, Léon Bottou, Francis R. Bach
SING: Symbol-to-Instrument Neural Generator. CoRR (2018)
Neil Zeghidour, Nicolas Usunier, Gabriel Synnaeve, Ronan Collobert, Emmanuel Dupoux
End-to-End Speech Recognition from the Raw Waveform. INTERSPEECH (2018)
Timothée Lacroix, Nicolas Usunier, Guillaume Obozinski
Canonical Tensor Decomposition for Knowledge Base Completion. ICML (2018)
Neil Zeghidour, Nicolas Usunier, Iasonas Kokkinos, Thomas Schatz, Gabriel Synnaeve, Emmanuel Dupoux
Learning Filterbanks from Raw Speech for Phone Recognition. ICASSP (2018)
Yossi Adi, Neil Zeghidour, Ronan Collobert, Nicolas Usunier, Vitaliy Liptchinsky, Gabriel Synnaeve
To Reverse the Gradient or Not: An Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition. CoRR (2018)
Gabriel Synnaeve, Zeming Lin, Jonas Gehring, Daniel Gant, Vegard Mella, Vasil Khalidov, Nicolas Carion, Nicolas Usunier
Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger. NeurIPS (2018)
Alexandre Défossez, Neil Zeghidour, Nicolas Usunier, Léon Bottou, Francis R. Bach
SING: Symbol-to-Instrument Neural Generator. NeurIPS (2018)
Jonas Gehring, Da Ju, Vegard Mella, Daniel Gant, Nicolas Usunier, Gabriel Synnaeve
High-Level Strategy Selection under Partial Observability in StarCraft: Brood War. CoRR (2018)
Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H. S. Torr, Nicolas Usunier
Value Propagation Networks. CoRR (2018)
Gabriel Synnaeve, Zeming Lin, Jonas Gehring, Daniel Gant, Vegard Mella, Vasil Khalidov, Nicolas Carion, Nicolas Usunier
Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger. CoRR (2018)
Neil Zeghidour, Qiantong Xu, Vitaliy Liptchinsky, Nicolas Usunier, Gabriel Synnaeve, Ronan Collobert
Fully Convolutional Speech Recognition. CoRR (2018)
Timothée Lacroix, Nicolas Usunier, Guillaume Obozinski
Canonical Tensor Decomposition for Knowledge Base Completion. CoRR (2018)
Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala
Episodic Exploration for Deep Deterministic Policies for StarCraft Micromanagement. ICLR (Poster) (2017)
Alexandre Sablayrolles, Matthijs Douze, Nicolas Usunier, Hervé Jégou
How should we evaluate supervised hashing? ICASSP (2017)
Neil Zeghidour, Nicolas Usunier, Iasonas Kokkinos, Thomas Schatz, Gabriel Synnaeve, Emmanuel Dupoux
Learning Filterbanks from Raw Speech for Phone Recognition. CoRR (2017)
Siddhartha Chandra, Nicolas Usunier, Iasonas Kokkinos
Dense and Low-Rank Gaussian CRFs Using Deep Embeddings. ICCV (2017)
Moustapha Cissé, Piotr Bojanowski, Edouard Grave, Yann N. Dauphin, Nicolas Usunier
Parseval Networks: Improving Robustness to Adversarial Examples. ICML (2017)
Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, Marc'Aurelio Ranzato
Fader Networks: Manipulating Images by Sliding Attributes. NIPS (2017)
Moustapha Cissé, Piotr Bojanowski, Edouard Grave, Yann N. Dauphin, Nicolas Usunier
Parseval Networks: Improving Robustness to Adversarial Examples. CoRR (2017)
Edouard Grave, Armand Joulin, Nicolas Usunier
Improving Neural Language Models with a Continuous Cache. ICLR (Poster) (2017)
Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, Marc'Aurelio Ranzato
Fader Networks: Manipulating Images by Sliding Attributes. CoRR (2017)
Alexandre Sablayrolles, Matthijs Douze, Hervé Jégou, Nicolas Usunier
How should we evaluate supervised hashing? CoRR (2016)
Neil Zeghidour, Gabriel Synnaeve, Nicolas Usunier, Emmanuel Dupoux
Joint Learning of Speaker and Phonetic Similarities with Siamese Networks. INTERSPEECH (2016)
Shameem Puthiya Parambath, Nicolas Usunier, Yves Grandvalet
A Coverage-Based Approach to Recommendation Diversity On Similarity Graph. RecSys (2016)
Edouard Grave, Armand Joulin, Nicolas Usunier
Improving Neural Language Models with a Continuous Cache. CoRR (2016)
Alberto García-Durán, Antoine Bordes, Nicolas Usunier, Yves Grandvalet
Combining Two and Three-Way Embedding Models for Link Prediction in Knowledge Bases. J. Artif. Intell. Res. 55 (2016)
Gabriel Synnaeve, Nantas Nardelli, Alex Auvolat, Soumith Chintala, Timothée Lacroix, Zeming Lin, Florian Richoux, Nicolas Usunier
TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games. CoRR (2016)
Evgeniy Gabrilovich, Nicolas Usunier
Constructing and Mining Web-scale Knowledge Graphs. SIGIR (2016)
Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala
Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks. CoRR (2016)
Charanpal Dhanjal, Nicolas Baskiotis, Stéphan Clémençon, Nicolas Usunier
An empirical comparison of V-fold penalisation and cross-validation for model selection in distribution-free regression. Pattern Anal. Appl. 19 (1) (2016)
Ali Fakeri-Tabrizi, Massih-Reza Amini, Cyril Goutte, Nicolas Usunier
Multiview self-learning. Neurocomputing 155 (2015)
Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Liva Ralaivola, Nicolas Usunier, Éric Gaussier
On Binary Reduction of Large-Scale Multiclass Classification Problems. IDA (2015)
Alberto García-Durán, Antoine Bordes, Nicolas Usunier, Yves Grandvalet
Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge Bases. CoRR (2015)
Antoine Bordes, Nicolas Usunier, Sumit Chopra, Jason Weston
Large-scale Simple Question Answering with Memory Networks. CoRR (2015)
Alberto García-Durán, Antoine Bordes, Nicolas Usunier
Composing Relationships with Translations. EMNLP (2015)
Shameem Ahamed Puthiya Parambath, Nicolas Usunier, Yves Grandvalet
Theory of Optimizing Pseudolinear Performance Measures: Application to F-measure. CoRR (2015)
Antoine Bordes, Jason Weston, Nicolas Usunier
Open Question Answering with Weakly Supervised Embedding Models. ECML/PKDD (1) (2014)
Antoine Bordes, Jason Weston, Nicolas Usunier
Open Question Answering with Weakly Supervised Embedding Models. CoRR (2014)
Alberto García-Durán, Antoine Bordes, Nicolas Usunier
Effective Blending of Two and Three-way Interactions for Modeling Multi-relational Data. ECML/PKDD (1) (2014)
Shameem Puthiya Parambath, Nicolas Usunier, Yves Grandvalet
Optimizing F-Measures by Cost-Sensitive Classification. NIPS (2014)
Antoine Bordes, Nicolas Usunier, Alberto García-Durán, Jason Weston, Oksana Yakhnenko
Irreflexive and Hierarchical Relations as Translations CoRR (2013)
Antoine Bordes, Nicolas Usunier, Alberto García-Durán, Jason Weston, Oksana Yakhnenko
Translating Embeddings for Modeling Multi-relational Data. NIPS (2013)
Moustapha Cissé, Nicolas Usunier, Thierry Artières, Patrick Gallinari
Robust Bloom Filters for Large MultiLabel Classification Tasks. NIPS (2013)
Jason Weston, Antoine Bordes, Oksana Yakhnenko, Nicolas Usunier
Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction. CoRR (2013)
Jason Weston, Antoine Bordes, Oksana Yakhnenko, Nicolas Usunier
Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction. EMNLP (2013)
Clément Calauzènes, Nicolas Usunier, Patrick Gallinari
Calibration and regret bounds for order-preserving surrogate losses in learning to rank. Mach. Learn. 93 (2-3) (2013)
Bruno Pradel, Nicolas Usunier, Patrick Gallinari
Ranking with non-random missing ratings: influence of popularity and positivity on evaluation metrics. RecSys (2012)
Clément Calauzènes, Nicolas Usunier, Patrick Gallinari
"On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking". NIPS (2012)
Bruno Pradel, Savaneary Sean, Julien Delporte, Sébastien Guérif, Céline Rouveirol, Nicolas Usunier, Françoise Fogelman-Soulié, Frédéric Dufau-Joël
A case study in a recommender system based on purchase data. KDD (2011)
David Buffoni, Clément Calauzènes, Patrick Gallinari, Nicolas Usunier
Learning Scoring Functions with Order-Preserving Losses and Standardized Supervision. ICML (2011)
Jason Weston, Samy Bengio, Nicolas Usunier
WSABIE: Scaling Up to Large Vocabulary Image Annotation. IJCAI (2011)

Nicolas Usunier.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Nicolas Usunier