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18 résultats
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triés par
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Learning Scoring Functions with Order-Preserving Losses and Standardized SupervisionThe 28th International Conference on Machine Learning (ICML 2011), Jun 2011, Bellevue, WA, United States. pp.825-832
Communication dans un congrès
hal-00834045v1
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On the (Non-)existence of Convex, Calibrated Surrogate Losses for RankingAdvances in Neural Information Processing Systems 25 (NIPS 2012), Dec 2012, Lake Tahoe, NV, United States. pp.197-205
Communication dans un congrès
hal-00834050v1
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A Technical Note on Non-Stationary Parametric Bandits: Existing Mistakes and Preliminary SolutionsAlgorithmic Learning Theory, Mar 2021, Online, France
Communication dans un congrès
hal-03339128v1
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Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational IssuesProceedings of the 40 th International Conference on Machine Learning, Jul 2023, Honolulu, United States
Communication dans un congrès
hal-04253761v1
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Calibration and regret bounds for order-preserving surrogate losses in learning to rankMachine Learning, 2013, 93 (2-3), pp.227-260. ⟨10.1007/s10994-013-5382-3⟩
Article dans une revue
hal-00834230v1
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Bridging the gap between regret minimization and best arm identification, with application to A/B testsAISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics, Apr 2019, Okinawa, Japan
Communication dans un congrès
hal-02457477v1
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Real-Time Optimisation for Online Learning in AuctionsInternational Conference on Machine Learning 2020, Jul 2020, Vienna, Austria
Communication dans un congrès
hal-02971118v1
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Learning in repeated auctionsFoundations and Trends in Machine Learning, 2022
Article dans une revue
hal-03089800v1
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Benchmarking GNN-CMA-ES on the BBOB noiseless testbedthe Genetic and Evolutionary Computation Conference Companion, Jul 2019, Prague, Czech Republic. pp.1928-1936
Communication dans un congrès
hal-02269139v1
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Explicit shading strategies for repeated truthful auctions2020
Pré-publication, Document de travail
hal-03089527v1
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Distributed SAGA: Maintaining linear convergence rate with limited communication2020
Pré-publication, Document de travail
hal-02457450v1
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Improved Optimistic Algorithms for Logistic BanditsInternational Conference of Machine Learning, Jul 2020, Vienne, Austria
Communication dans un congrès
hal-02932836v1
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Thresholding at the monopoly price: an agnostic way to improve bidding strategies in revenue-maximizing auctions2020
Pré-publication, Document de travail
hal-03089546v1
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Offline A/B testing for recommender systemsWSDM '18 - The 11th ACM International Conference on Web Search and Data Mining, Feb 2018, Los Angeles, United States. pp.198-206, ⟨10.1145/3159652.3159687⟩
Communication dans un congrès
hal-02457457v1
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Improved Optimistic Algorithms for Logistic Bandits2020
Pré-publication, Document de travail
hal-02767843v1
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Robust Stackelberg buyers in repeated auctionsdInternational Conference on Artificial Intelligence and Statistics, 2020, virtual, France
Communication dans un congrès
hal-03089777v1
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Position Paper: Open Research Challenges for Private Advertising Systems under Local Differential Privacy2024
Pré-publication, Document de travail
hal-04438186v1
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Improving Evolutionary Strategies with Generative Neural Networks2019
Pré-publication, Document de travail
hal-02007619v1
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