| Lipschitz bandits: Regret lower bound and optimal algorithms S Magureanu, R Combes, A Proutiere Conference on Learning Theory, 975-999, 2014 | 177 | 2014 |
| Minimal exploration in structured stochastic bandits R Combes, S Magureanu, A Proutiere Advances in Neural Information Processing Systems 30, 2017 | 131 | 2017 |
| Learning to rank: Regret lower bounds and efficient algorithms R Combes, S Magureanu, A Proutiere, C Laroche Proceedings of the 2015 ACM SIGMETRICS international conference on …, 2015 | 100 | 2015 |
| Optimal distributed scheduling in wireless networks under the SINR interference model P Chaporkar, S Magureanu, A Proutiere IEEE/ACM Transactions on Networking 24 (4), 2033-2045, 2015 | 18 | 2015 |
| Graph Neural Networks for Nomination and Representation Learning of Web Elements A Hotti, RS Risuleo, S Magureanu, A Moradi, J Lagergren arXiv preprint arXiv:2111.02168, 2022 | 15* | 2022 |
| Epidemic trust-based recommender systems S Magureanu, N Dokoohaki, S Mokarizadeh, M Matskin 2012 International Conference on Privacy, Security, Risk and Trust and 2012 …, 2012 | 15* | 2012 |
| Efficient Online Learning under Bandit Feedback S Magureanu KTH Royal Institute of Technology, 2018 | 9 | 2018 |
| Location and extraction of item elements in a user interface S Magureanu, M Näslund, A Melentyev, H Ståhl, S Dzhumaev US Patent 11,442,749, 2022 | 8 | 2022 |
| Online learning of optimally diverse rankings S Magureanu, A Proutiere, M Isaksson, B Zhang Proceedings of the ACM on Measurement and Analysis of Computing Systems 1 (2 …, 2017 | 7 | 2017 |
| Dynamic identification of user interface elements through unsupervised exploration S Magureanu, M Näslund, A Melentyev, H Ståhl, S Dzhumaev US Patent 11,366,645, 2022 | 4 | 2022 |
| Unsupervised location and extraction of option elements in a user interface S Magureanu, M Näslund, A Melentyev, H Ståhl, S Dzhumaev US Patent 11,726,752, 2023 | 2 | 2023 |
| Procedurally generating realistic interfaces using machine learning techniques A Moradi, A Hotti, RS Risuleo, S Magureanu US Patent App. 17/318,946, 2022 | 2 | 2022 |
| Unsupervised location and extraction of quantity and unit value elements in a user interface S Magureanu, M Näslund, A Melentyev, H Ståhl, S Dzhumaev US Patent App. 16/680,408, 2021 | 1 | 2021 |
| Distributed Trust-Aware Recommender Systems S Magureanu | 1 | 2012 |
| Subject-node-driven prediction of product attributes on web pages S Magureanu, RS Risuleo US Patent App. 17/875,300, 2024 | | 2024 |
| Training web-element predictors using negative-example sampling S Magureanu, RS Risuleo US Patent App. 17/701,595, 2023 | | 2023 |
| Dynamic labeling of functionally equivalent neighboring nodes in an object model tree A Hotti, RS Risuleo, A Moradi, S Magureanu, J Lagergren US Patent 11,610,047, 2023 | | 2023 |
| Dynamic location and extraction of a user interface element state in a user interface that is dependent on an event occurrence in a different user interface S Magureanu, M Näslund, A Melentyev, H Ståhl, S Dzhumaev US Patent 11,379,092, 2022 | | 2022 |
| Generic Asymptotically Optimal Algorithms for Multi-Armed Bandits R Combes, S Magureanu, A Proutiere 2018 56th Annual Allerton Conference on Communication, Control, and …, 2018 | | 2018 |
| Structured Stochastic Bandits S Magureanu KTH Royal Institute of Technology, 2016 | | 2016 |
Alexandre ProutiereKTHVerified email at kth.se
