Users in consumption domains, like music, are often able to more efficie...
Conversational recommendation systems (CRSs) enable users to use natural...
Multimodal learning can benefit from the representation power of pretrai...
Music tagging and content-based retrieval systems have traditionally bee...
We consider a sequential decision-making problem where an agent can take...
In this paper we apply active learning algorithms for dynamic pricing in...
In this paper we model the problem of learning preferences of a populati...
Single Index Models (SIMs) are simple yet flexible semi-parametric model...
Most recent results in matrix completion assume that the matrix under
co...
Single Index Models (SIMs) are simple yet flexible semi-parametric model...
We consider the problem of learning convex aggregation of models, that i...
This paper proposes a fast and accurate method for sparse regression in ...
In this paper we propose a multi-armed bandit inspired, pool based activ...
We provide a formulation for Local Support Vector Machines (LSVMs) that
...
In this paper we address the problem of pool based active learning, and
...