45 citations · 168 across the 23 of their papers we have counts for
5 papers · 1 filter
Manifold Structured Prediction
Alessandro Rudi, Carlo Ciliberto, Gian Maria Marconi +1
Structured prediction provides a general framework to deal with supervised problems where the outputs have semantically rich structure. While classical approaches consider finite,…
Localized Structured Prediction
Carlo Ciliberto, Francis Bach, Alessandro Rudi
Key to structured prediction is exploiting the problem structure to simplify the learning process. A major challenge arises when data exhibit a local structure (e.g., are made by "…
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance
Giulia Luise, Alessandro Rudi, Massimiliano Pontil +1
Applications of optimal transport have recently gained remarkable attention thanks to the computational advantages of entropic regularization. However, in most situations the Sinkh…
Approximating Hamiltonian dynamics with the Nyström method
Alessandro Rudi, Leonard Wossnig, Carlo Ciliberto +3
Simulating the time-evolution of quantum mechanical systems is BQP-hard and expected to be one of the foremost applications of quantum computers. We consider classical algorithms f…
Incremental Learning-to-Learn with Statistical Guarantees
Giulia Denevi, Carlo Ciliberto, Dimitris Stamos +1
In learning-to-learn the goal is to infer a learning algorithm that works well on a class of tasks sampled from an unknown meta distribution. In contrast to previous work on batch…