LARS-IASC School

THE SCHOOL (LARS-IASC School) – April 17-18, 2021

“Stochastic Simulation and Reinforcement Learning”

 

To increase the development of human capital in computational statistics and support its progress,
LARS- IASC aims to implement a School on Computational Statistics and Data Science (LARS-IASC
School). The main purpose of the LARS-IASC School is to spread the knowledge base and advances in
Computational Statistics in the Latin American countries and to increase the number of researchers
and data scientists in the field.

 

Prof. Dr. Luis Enrique Sucar
Department of Computing
Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE) ccc.inaoep.mx/~esucar/ “Probabilistic Graphical Models: Principles and Applications”* Bayesian classifiers, Bayesian networks: representation and inference, Relational
probabilistic graphical models, Graphical causal methods.
 

Prof. Dr. David F. Muñoz-Negrón
Department of Industrial Engineering and Operations
Instituto Tecnológico Autónomo de México (ITAM)
ciep.itam.mx/~davidm/ http://ciep.itam.mx/~davidm/

“Stochastic Simulation: Output Analysis and Applications”

 

* Transient and Steady-state Simulation, Bootstrap, Markov Chain Montecarlo.

 

Prof. Dr. Eduardo F. Morales
Department of Computing
Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE)
ccc.inaoep.mx/~emorales/

 

“Reinforcement Learning”

 

* Introduction, Solution methods MDPs (Dynamic Programming, Monte Carlo, Temporal
Difference), * Big spaces strategies, * Deep reinforcement learning.

 

Scholarships:
✴Limited number of scholarships – 100% waiver in registration fee for people living in the developing countries,
see bit.ly/2FCoZF3

✴Up to 10 scholarships – 100% waiver in registration fee for people living in developing countries (from the lists
in the links provided above).

✴1 full scholarship that includes registration fee, travel and stay expenses.
Apply for these scholarship:
✦ Send an email to lacsc2021@itam.mx

✦ Be a member of IASC, see iasc-isi.org/become-a-member/

 

Become a member