Lucas Maystre

Most-cited papers

Algorithmic Effects on the Diversity of Consumption on Spotify
Ashton Anderson, Lucas Maystre, Ian Anderson, Rishabh Mehrotra +1 more
2020The Web Conference231 citations Open access
Semantic Scholar
Contextual and Sequential User Embeddings for Large-Scale Music Recommendation
Casper Hansen, Christian Hansen, Lucas Maystre, Rishabh Mehrotra +3 more
2020ACM Conference on Recommender Systems148 citations Open access
Semantic Scholar
Fast and Accurate Inference of Plackett-Luce Models
Lucas Maystre, Matthias Grossglauser
2015Neural Information Processing Systems146 citations
Semantic Scholar
Just Sort It! A Simple and Effective Approach to Active Preference Learning
Lucas Maystre, M. Grossglauser
2015International Conference on Machine Learning60 citations
Semantic Scholar
Collaborative Recurrent Neural Networks for Dynamic Recommender Systems
Young-Jun Ko, Lucas Maystre, M. Grossglauser
2016Asian Conference on Machine Learning55 citations
Semantic Scholar
Shifting Consumption towards Diverse Content on Music Streaming Platforms
Christian Hansen, Rishabh Mehrotra, Casper Hansen, B. Brost +2 more
2021Web Search and Data Mining41 citations
Semantic Scholar
Where To Next? A Dynamic Model of User Preferences
Francesco Sanna Passino, Lucas Maystre, Dmitrii Moor, Ashton Anderson +1 more
2021The Web Conference37 citations Open access
Semantic Scholar
Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay
Thomas M. McDonald, Lucas Maystre, M. Lalmas, Daniel Russo +1 more
2023Knowledge Discovery and Data Mining29 citations Open access
Semantic Scholar
Estimating long-term causal effects from short-term experiments and long-term observational data with unobserved confounding
Graham W. Van Goffrier, Lucas Maystre, C. Gilligan-Lee
2023CLEaR20 citations Open access
Semantic Scholar
Temporally-Consistent Survival Analysis
Lucas Maystre, D. Russo
2022Neural Information Processing Systems19 citations
Semantic Scholar
Pairwise Comparisons with Flexible Time-Dynamics
Lucas Maystre, Victor Kristof, M. Grossglauser
2019Knowledge Discovery and Data Mining19 citations Open access
Semantic Scholar
ChoiceRank: Identifying Preferences from Node Traffic in Networks
Lucas Maystre, M. Grossglauser
2016International Conference on Machine Learning16 citations
Semantic Scholar
Mitigating Epidemics through Mobile Micro-measures
M. Kafsi, Ehsan Kazemi, Lucas Maystre, Lyudmila Yartseva +2 more
2013arXiv.org13 citations
Semantic Scholar
Optimizing Audio Recommendations for the Long-Term: A Reinforcement Learning Perspective
Lucas Maystre, Daniel Russo, Yu Zhao
2023arXiv.org12 citations Open access
Semantic Scholar
The Dynamics of Exploration on Spotify
Lillio Mok, Samuel F. Way, Lucas Maystre, Ashton Anderson
2022International Conference on Web and Social Media12 citations Open access
Semantic Scholar
Using Survival Models to Estimate User Engagement in Online Experiments
P. Chandar, Brian St. Thomas, Lucas Maystre, Vijay Pappu +5 more
2022The Web Conference12 citations
Semantic Scholar
Robust Active Ranking from Sparse Noisy Comparisons
Lucas Maystre, M. Grossglauser
2015arXiv.org11 citations
Semantic Scholar
The Player Kernel: Learning Team Strengths Based on Implicit Player Contributions
Lucas Maystre, Victor Kristof, Antonio J. González Ferrer, M. Grossglauser
2016MLSA@PKDD/ECML8 citations
Semantic Scholar
Gaussian Process Encoders: VAEs with Reliable Latent-Space Uncertainty
Judith Bütepage, Lucas Maystre, M. Lalmas
2021ECML/PKDD5 citations
Semantic Scholar
Scalable and Efficient Comparison-based Search without Features
Daniyar Chumbalov, Lucas Maystre, M. Grossglauser
2019International Conference on Machine Learning5 citations
Semantic Scholar
Can Who-Edits-What Predict Edit Survival?
Ali Batuhan Yardim, Victor Kristof, Lucas Maystre, M. Grossglauser
2018Knowledge Discovery and Data Mining5 citations Open access
Semantic Scholar
Efficient Learning from Comparisons
Lucas Maystre
2018Ausgezeichnete Informatikdissertationen5 citations
Semantic Scholar
A Strong Baseline for Batch Imitation Learning
Matthew Smith, Lucas Maystre, Zhen-Wen Dai, K. Ciosek
2023arXiv.org4 citations Open access
Semantic Scholar
A User Study of Perceived Carbon Footprint
Victor Kristof, Valentin Quelquejay-Leclere, Robin Zbinden, Lucas Maystre +2 more
2019arXiv.org3 citations
Semantic Scholar
Multistate analysis with infinite mixtures of Markov chains
Lucas Maystre, Tiffany Wu, R. Sanchis-Ojeda, Tony Jebara
2022Conference on Uncertainty in Artificial Intelligence2 citations
Semantic Scholar
Collaborative Classification from Noisy Labels
Lucas Maystre, N. Kumarappan, Judith Bütepage, M. Lalmas
2021International Conference on Artificial Intelligence and Statistics1 citations
Semantic Scholar
Learning to Search Efficiently Using Comparisons
Daniyar Chumbalov, Lucas Maystre, M. Grossglauser
2019arXiv.org1 citations
Semantic Scholar
Fast and Accurate Inference of Plackett – Luce Models Supplementary Material
Lucas Maystre, M. Grossglauser
20161 citations
Semantic Scholar
Fast Interactive Search under a Scale-Free Comparison Oracle
Daniyar Chumbalov, Lars Klein, Lucas Maystre, Matthias Grossglauser
2024Conference on Uncertainty in Artificial Intelligence0 citations
Semantic Scholar
Fast Interactive Search with a Scale-Free Comparison Oracle
Daniyar Chumbalov, Lars Klein, Lucas Maystre, M. Grossglauser
2023arXiv.org0 citations Open access
Semantic Scholar
Linear-Time Inference for Pairwise Comparisons with Gaussian-Process Dynamics
Lucas Maystre, Victor Kristof, M. Grossglauser
2019arXiv.org0 citations
Semantic Scholar
ChoiceRank : Identifying Preferences from Node Traffic in Networks Supplementary Material
Lucas Maystre, M. Grossglauser
20170 citations
Semantic Scholar
Fast and Accurate Inference of Plackett\textendash Luce Models
Lucas Maystre, M. Grossglauser
2015Neural Information Processing Systems0 citations
Semantic Scholar
Music Recommendation to Groups
Lucas Maystre
20120 citations
Semantic Scholar