◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Tommaso d'Orsi

4 papers hereh-index 9182 citations28 works total

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

author position
  • first author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG4

identity via Semantic Scholar / OpenAlex

activity
20202022
most citedConsistent Estimation for PCA and Sparse Regression with Oblivious Outliers

1 citations · 1 across the 1 of their papers we have counts for

collaborators

4 papers

cs.LG2022

Higher degree sum-of-squares relaxations robust against oblivious outliers

Tommaso d'Orsi, Rajai Nasser, Gleb Novikov +1

We consider estimation models of the form Y=X∗+N, where X∗ is some m-dimensional signal we wish to recover, and N is symmetrically distributed noise that may be unbounded…

cs.LG2021★ 1 cited

Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers

Tommaso d'Orsi, Chih-Hung Liu, Rajai Nasser +3

We develop machinery to design efficiently computable and consistent estimators, achieving estimation error approaching zero as the number of observations grows, when facing an obl…

cs.LG2021

The Complexity of Sparse Tensor PCA

Davin Choo, Tommaso d'Orsi

We study the problem of sparse tensor principal component analysis: given a tensor Y=W+λx⊗p with W∈⊗pRn having i.i.d. Gaussian…

cs.LG2020

Sparse PCA: Algorithms, Adversarial Perturbations and Certificates

Tommaso d'Orsi, Pravesh K. Kothari, Gleb Novikov +1

We study efficient algorithms for Sparse PCA in standard statistical models (spiked covariance in its Wishart form). Our goal is to achieve optimal recovery guarantees while being…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.