I am a postdoc in the Department of Computer Science at Columbia University, hosted
by Xi Chen and Rocco Servedio and partially supported by an NSERC Postdoctoral
Fellowship.
Previously, I completed my PhD in Computer Science under the supervision
of Eric Blais at the University of Waterloo. Before that, I obtained an MSc at the
University of Toronto under the supervision of Yang Xu, and completed my Bachelor's
at the University of Waterloo.
My research is guided by the following question: what kinds of decisions can
algorithms make using little information? I am broadly interested in sublinear
algorithms, randomness in computation, Boolean functions, high-dimensional functions
and geometry, learning theory, and computational statistics.
In a previous life, I studied
computational linguistics with a touch of cognitive science at the University of
Toronto.
Papers
Citing my works in BibTeX (or, what
is my name?)
I do not have a middle name, that is, my first name is "Renato" and my last name is
"Ferreira Pinto Jr", with initial "F". I believe the easiest way to have BibTeX
behave accordingly is to enter my last name as {Ferreira Pinto Jr}. For slides and
such, feel free to use the shorter "Ferreira" if that is more convenient.
-
On the Spectral Expansion of Monotone Subsets of the Hypercube
(RANDOM 2025)
Yumou Fei, RF
[arXiv]
-
Testing Support Size More Efficiently Than Learning Histograms
(STOC 2025)
RF, Nathaniel Harms
[arXiv]
[video for STOC]
-
Directed Isoperimetry and Monotonicity Testing: A Dynamical Approach
(FOCS 2024)
RF
[arXiv]
[slides]
[animations:
heat equation,
directed heat equation]
[TCS+ talk]
-
Distribution Testing with a Confused Collector (ITCS 2024)
RF, Nathaniel Harms
[arXiv]
-
Directed Poincaré Inequalities and L1 Monotonicity Testing of
Lipschitz Functions (RANDOM 2023)
RF
[arXiv]
-
VC Dimension and Distribution-Free Sample-Based Testing (STOC 2021)
Eric Blais, RF, Nathaniel Harms
[arXiv]