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Tommaso Cesari

University of Ottawa

31 papers hereh-index 10315 citations40 works total

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

author position
  • first author5
  • middle author25
  • last author1

Across the 31 of 31 papers where every author was matched, so the position is known.

fields
  • cs.LG14
  • cs.GT8
  • math.OC4
  • cs.IT1
  • math.PR1
  • math.ST1
affiliations
  • University of Ottawa
Homepage
same name
  • Tommaso Cesari — 3 papers, 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
20182026
most citedA Regret Analysis of Bilateral Trade

8 citations · 40 across the 29 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.LG2023

An Online Learning Theory of Brokerage

Nataša Bolić, Tommaso Cesari, Roberto Colomboni

We investigate brokerage between traders from an online learning perspective. At any round t, two traders arrive with their private valuations, and the broker proposes a trading…

cs.GT2023★ 6 cited

The Role of Transparency in Repeated First-Price Auctions with Unknown Valuations

Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni +2

We study the problem of regret minimization for a single bidder in a sequence of first-price auctions where the bidder discovers the item's value only if the auction is won. Our ma…

cs.LG2023

On the Minimax Regret for Online Learning with Feedback Graphs

Khaled Eldowa, Emmanuel Esposito, Tommaso Cesari +1

In this work, we improve on the upper and lower bounds for the regret of online learning with strongly observable undirected feedback graphs. The best known upper bound for this pr…

cs.LG2023★ 3 cited

Repeated Bilateral Trade Against a Smoothed Adversary

Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni +2

We study repeated bilateral trade where an adaptive σ-smooth adversary generates the valuations of sellers and buyers. We provide a complete characterization of the regret regime…

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