Machine Learning

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February 2022 | Ghazal Fazelnia, Ben Carterette and Mounia Lalmas

Modeling Users According to Their Slow and Fast-Moving Interests
October 2021 | Antonia Saravanou, Federico Tomasi, Rishabh Mehrotra, Mounia Lalmas

Multi-Task Learning of Graph-based Inductive Representations of Music Content
Model Selection for Production System via Automated Online Experiments
July 2021 | Steven Kleinegesse and Zhenwen Dai

Model Selection for Production System via Automated Online Experiments
April 2021 | Francesco Sanna Passino, Lucas Maystre, Dmitrii Moor, Ashton Anderson and Mounia Lalmas

Finding Structure in Users’ Evolving Listening Preferences
April 2021 | Lucas Maystre, Nagarjuna Kumarappan, Judith Bütepage and Mounia Lalmas

Collaborative Classification from Noisy Labels
Shifting Consumption towards Diverse content via Reinforcement Learning
March 2021 | Christian Hansen, Rishabh Mehrotra, Casper Hansen, Brian Brost, Lucas Maystre, Mounia Lalmas

Shifting Consumption towards Diverse content via Reinforcement Learning
February 2021 | Federico Tomasi, Praveen Ravichandran, Gal Levy-Fix, Mounia Lalmas and Zhenwen Dai

Stochastic Variational Inference for Dynamic Correlated Topic Models

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