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Alessandro Rudi

37 papers hereh-index 273k citations89 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • middle author10
  • last author22

Across the 37 of 37 papers where every author was matched, so the position is known.

fields
  • cs.LG14
  • stat.ML13
  • math.OC4
  • math.ST2
  • quant-ph2
  • cs.AI1
same name
  • Alessandro Rudi — 5 papers
  • Alessandro Rudi — 3 papers, h 3
  • Alessandro Rudi — 2 papers, h 4
  • Alessandro Rudi — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172022
most citedNon-parametric Models for Non-negative Functions

12 citations · 51 across the 15 of their papers we have counts for

collaborators
Showing math.OCShow all

4 papers · 1 filter

math.OC2022★ 1 cited

Second order conditions to decompose smooth functions as sums of squares

Ulysse Marteau-Ferey, Francis Bach, Alessandro Rudi

We consider the problem of decomposing a regular non-negative function as a sum of squares of functions which preserve some form of regularity. In the same way as decomposing non-n…

math.OC2021

Infinite-Dimensional Sums-of-Squares for Optimal Control

Eloïse Berthier, Justin Carpentier, Alessandro Rudi +1

We introduce an approximation method to solve an optimal control problem via the Lagrange dual of its weak formulation. It is based on a sum-of-squares representation of the Hamilt…

math.OC2020

Finding Global Minima via Kernel Approximations

Alessandro Rudi, Ulysse Marteau-Ferey, Francis Bach

We consider the global minimization of smooth functions based solely on function evaluations. Algorithms that achieve the optimal number of function evaluations for a given precisi…

math.OC2019

Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses

Ulysse Marteau-Ferey, Francis Bach, Alessandro Rudi

In this paper, we study large-scale convex optimization algorithms based on the Newton method applied to regularized generalized self-concordant losses, which include logistic regr…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.