Lucas Maystre

According to our database1, Lucas Maystre authored at least 15 papers between 2013 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Algorithmic Effects on the Diversity of Consumption on Spotify.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Contextual and Sequential User Embeddings for Large-Scale Music Recommendation.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Scalable and Efficient Comparison-based Search without Features.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
A User Study of Perceived Carbon Footprint.
CoRR, 2019

Learning to Search Efficiently Using Comparisons.
CoRR, 2019

Linear-Time Inference for Pairwise Comparisons with Gaussian-Process Dynamics.
CoRR, 2019

Pairwise Comparisons with Flexible Time-Dynamics.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Can Who-Edits-What Predict Edit Survival?
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
ChoiceRank: Identifying Preferences from Node Traffic in Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

Just Sort It! A Simple and Effective Approach to Active Preference Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
The Player Kernel: Learning Team Strengths Based on Implicit Player Contributions.
Proceedings of the Workshop on Machine Learning and Data Mining for Sports Analytics 2016 co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016

Collaborative Recurrent Neural Networks for Dynamic Recommender Systems.
Proceedings of The 8th Asian Conference on Machine Learning, 2016

2015
Robust Active Ranking from Sparse Noisy Comparisons.
CoRR, 2015

Fast and Accurate Inference of Plackett-Luce Models.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2013
Mitigating Epidemics through Mobile Micro-measures.
CoRR, 2013


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