.

Omar Rivasplata
(no longer at the)
Department of Computing Science
University of Alberta
Former Office: 147 Athabasca Hall
Email: try
or
Here is my Curriculum Vitae
(Last updated: a long long time ago)
News:
here

I work with John at UCL
and with András at DeepMind.
Actually these days I work from home.

In the Fall term of 2016 I joined
Csaba's group to work
in Statistical Machine Learning. I am finding it fascinating!
Also I'm interested in other learning frameworks such as online learning and reinforcement learning,
and of course deep learning, which is quite popular these days.
It seems that optimization is one pervasive theme in machine learning,
though it comes up in a variety of flavours and colours that it isn't boring.
Just like the 'least action principle' of that guy Maupertuis saying that
"everything happens as if some quantity was to be made as small as possible."
But just optimization doesn't quite do it... to really be talking about learning
one has to pay attention to generalization.

I spent some time with
Mauricio's
group looking at signal analysis related things.
Before that I was working with
Sasha and
Nicole
using geometric functional analysis and probability
for estimating the smallest singular value of a sparse random matrix.
Even before that I worked with
Byron
on reversibility of a Brownian motion with drift.
As an undergrad,
with Loretta
I worked on a fun project about repeated games with incomplete information.

Machine Learning.
Statistical Learning.
PACBayes Analysis.
Probability Theory.
Random Processes.
Geometric Functional Analysis.
Random Matrices.

 O. Rivasplata, I. Kuzborskij, Cs. Szepesvári, J. ShaweTaylor,
PACBayes Analysis Beyond the Usual Bounds.
NeurIPS 2019 Workshop on Machine Learning with Guarantees.
PDF
 O. Rivasplata, E. ParradoHernández, J. ShaweTaylor, S. Sun, Cs. Szepesvári,
PACBayes bounds for stable algorithms with instancedependent priors.
NeurIPS 2018.
PDF
 A.E. Litvak, O. Rivasplata,
Smallest singular value of sparse random matrices.
Studia Math., 212, 3 (2012), 195218.
PDF
 O. Rivasplata,
Subgaussian random variables: An expository note.
Unpublished note.
PDF
 J. Rychtar, O. Rivasplata, B. Schmuland,
Reversibility for diffusions via quasiinvariance.
Acta Univ. Carolin. Math. Phys., 48, 1 (2007), 310.
PDF
 J. Rychtar, O. Rivasplata, C. Sykes,
Evolutionary games in finite populations.
Pro Mathematica, 20, 39/40 (2006), 147164.
PDF
 O. Rivasplata, B. Schmuland,
Invariant and reversible measures for random walks on Z.
Pro Mathematica, 19, 37/38 (2005), 117124.
PDF
Probability Links (accessible with probability one)

Peruvian Links



Department of Computing Science
University of Alberta
221 Athabasca Hall
Edmonton, AB T6G 2E8

Dept. Phone: 780.492.2285
Dept. Fax: 780.492.6393
Last modified 01.01.2017


