Search Results for author: Marco Rando

Found 5 papers, 0 papers with code

Efficient Unsupervised Learning for Plankton Images

no code implementations14 Sep 2022 Paolo Didier Alfano, Marco Rando, Marco Letizia, Francesca Odone, Lorenzo Rosasco, Vito Paolo Pastore

We compare our method with state-of-the-art unsupervised approaches, where a set of pre-defined hand-crafted features is used for clustering of plankton images.

Clustering

Stochastic Zeroth order Descent with Structured Directions

no code implementations10 Jun 2022 Marco Rando, Cesare Molinari, Silvia Villa, Lorenzo Rosasco

For smooth convex functions we prove almost sure convergence of the iterates and a convergence rate on the function values of the form $O(d/l k^{-c})$ for every $c<1/2$, which is arbitrarily close to the one of Stochastic Gradient Descent (SGD) in terms of number of iterations.

Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization

no code implementations16 Jun 2021 Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco

In this paper, we introduce Ada-BKB (Adaptive Budgeted Kernelized Bandit), a no-regret Gaussian process optimization algorithm for functions on continuous domains, that provably runs in $O(T^2 d_\text{eff}^2)$, where $d_\text{eff}$ is the effective dimension of the explored space, and which is typically much smaller than $T$.

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