233 citations · 531 across the 34 of their papers we have counts for
5 papers · 1 filter
RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
David Rohde, Stephen Bonner, Travis Dunlop +2
Recommender Systems are becoming ubiquitous in many settings and take many forms, from product recommendation in e-commerce stores, to query suggestions in search engines, to frien…
Neural Generative Models for Global Optimization with Gradients
Louis Faury, Flavian Vasile, Clément Calauzènes +1
The aim of global optimization is to find the global optimum of arbitrary classes of functions, possibly highly multimodal ones. In this paper we focus on the subproblem of global…
Adversarial Training of Word2Vec for Basket Completion
Ugo Tanielian, Mike Gartrell, Flavian Vasile
In recent years, the Word2Vec model trained with the Negative Sampling loss function has shown state-of-the-art results in a number of machine learning tasks, including language mo…
Siamese Cookie Embedding Networks for Cross-Device User Matching
Ugo Tanielian, Anne-Marie Tousch, Flavian Vasile
Over the last decade, the number of devices per person has increased substantially. This poses a challenge for cookie-based personalization applications, such as online search and…
Rover Descent: Learning to optimize by learning to navigate on prototypical loss surfaces
Louis Faury, Flavian Vasile
Learning to optimize - the idea that we can learn from data algorithms that optimize a numerical criterion - has recently been at the heart of a growing number of research efforts.…