| Fast and accurate inference of Plackett–Luce models L Maystre, M Grossglauser NeurIPS 2015, 2015 | 99 | 2015 |
| Algorithmic effects on the diversity of consumption on Spotify A Anderson, L Maystre, I Anderson, R Mehrotra, M Lalmas Proceedings of The Web Conference 2020, 2155-2165, 2020 | 60 | 2020 |
| Just sort it! A simple and effective approach to active preference learning L Maystre, M Grossglauser ICML 2017, 2017 | 60* | 2017 |
| Collaborative recurrent neural networks for dynamic recommender systems YJ Ko, L Maystre, M Grossglauser ACML 2016, 2016 | 54 | 2016 |
| Contextual and sequential user embeddings for large-scale music recommendation C Hansen, C Hansen, L Maystre, R Mehrotra, B Brost, F Tomasi, ... Fourteenth ACM conference on recommender systems, 53-62, 2020 | 40 | 2020 |
| Mitigating epidemics through mobile micro-measures M Kafsi, E Kazemi, L Maystre, L Yartseva, M Grossglauser, P Thiran arXiv preprint arXiv:1307.2084, 2013 | 16 | 2013 |
| ChoiceRank: Identifying Preferences from Node Traffic in Networks L Maystre, M Grossglauser ICML 2017, 2017 | 14 | 2017 |
| Shifting consumption towards diverse content on music streaming platforms C Hansen, R Mehrotra, C Hansen, B Brost, L Maystre, M Lalmas Proceedings of the 14th ACM international conference on web search and data …, 2021 | 10 | 2021 |
| The player kernel: learning team strengths based on implicit player contributions L Maystre, V Kristof, AJG Ferrer, M Grossglauser arXiv preprint arXiv:1609.01176, 2016 | 8 | 2016 |
| Pairwise Comparisons with Flexible Time-Dynamics L Maystre, V Kristof, M Grossglauser Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 7 | 2019 |
| Can Who-Edits-What Predict Edit Survival? AB Yardim, V Kristof, L Maystre, M Grossglauser Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 5 | 2018 |
| Efficient learning from comparisons L Maystre EPFL, 2018 | 3 | 2018 |
| Scalable and Efficient Comparison-based Search without Features D Chumbalov, L Maystre, M Grossglauser arXiv preprint arXiv:1905.05049, 2019 | 2 | 2019 |
| Where To Next? A Dynamic Model of User Preferences F Sanna Passino, L Maystre, D Moor, A Anderson, M Lalmas Proceedings of the Web Conference 2021, 3210-3220, 2021 | 1 | 2021 |
| Collaborative Classification from Noisy Labels L Maystre, N Kumarappan, J Bütepage, M Lalmas AISTATS 2021, 2021 | 1 | 2021 |
| A User Study of Perceived Carbon Footprint V Kristof, V Quelquejay-Leclère, R Zbinden, L Maystre, M Grossglauser, ... arXiv preprint arXiv:1911.11658, 2019 | 1 | 2019 |
| Fast and Accurate Inference of Plackett–Luce Models Supplementary Material L Maystre, M Grossglauser | 1 | 2016 |
| The Dynamics of Exploration on Spotify L Mok, SF Way, L Maystre, A Anderson Proceedings of the International AAAI Conference on Web and Social Media 16 …, 2022 | | 2022 |
| Using Survival Models to Estimate User Engagement in Online Experiments P Chandar, B St. Thomas, L Maystre, V Pappu, R Sanchis-Ojeda, T Wu, ... Proceedings of the ACM Web Conference 2022, 3186-3195, 2022 | | 2022 |
| Multistate Analysis with Infinite Mixtures of Markov Chains L Maystre, T Wu, RS Ojeda, T Jebara UAI 2022, 2022 | | 2022 |
Matthias GrossglauserEPFLVerified email at epfl.ch
