Nicolas Usunier

Data Taggants: Dataset Ownership Verification Via Harmless Targeted Data Poisoning ICLR 2025 Contextual bandits with concave rewards, and an application to fair ranking ICLR 2023 Online Certification of Preference-Based Fairness for Personalized Recommender Systems (Extended Abstract) IJCAI 2023 Gradient Matching for Domain Generalization ICLR 2022 Online Certification of Preference-Based Fairness for Personalized Recommender Systems AAAI 2022 Hierarchical Skills for Efficient Exploration NeurIPS 2021 Online Selection of Diverse Committees IJCAI 2021 Two-sided fairness in rankings via Lorenz dominance NeurIPS 2021 End-to-End Object Detection with Transformers ECCV 2020 Fully Parallel Hyperparameter Search: Reshaped Space-Filling ICML 2020 Growing Action Spaces ICML 2020 On ranking via sorting by estimated expected utility NeurIPS 2020 Tensor Decompositions for Temporal Knowledge Base Completion ICLR 2020 A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning NeurIPS 2019 Value Propagation Networks ICLR 2019 Canonical Tensor Decomposition for Knowledge Base Completion ICML 2018 End-to-End Speech Recognition from the Raw Waveform Interspeech 2018 Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger NeurIPS 2018 SING: Symbol-to-Instrument Neural Generator NeurIPS 2018 Dense and Low-Rank Gaussian CRFs Using Deep Embeddings ICCV 2017 Fader Networks:Manipulating Images by Sliding Attributes NeurIPS 2017 Parseval Networks: Improving Robustness to Adversarial Examples ICML 2017 Joint Learning of Speaker and Phonetic Similarities with Siamese Networks Interspeech 2016 Composing Relationships with Translations EMNLP 2015 Optimizing F-Measures by Cost-Sensitive Classification NeurIPS 2014 Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction EMNLP 2013 Robust Bloom Filters for Large MultiLabel Classification Tasks NeurIPS 2013 Translating Embeddings for Modeling Multi-relational Data NeurIPS 2013 On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking NeurIPS 2012 Guarantees for Approximate Incremental SVMs AISTATS 2010 Towards Understanding Situated Natural Language AISTATS 2010 Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization NeurIPS 2009 A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning NeurIPS 2008 PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier NeurIPS 2006