Seminarios - Quantil | Matemáticas Aplicadas

Seminars

Research and development - Seminars

Innovación gubernamental en la era de la inteligencia artificial:

Diseño óptimo de subastas de electricidad desde el aprendizaje profundo:

El diseño óptimo de subastas en mercados de electricidad es importante para garantizar energía accesible, sustentable y limpia. Este trabajo, motivado por los avances recientes en encontrar mecanismos óptimos usando Aprendizaje Profundo, introduce un método para descubrir diseños óptimos para subastas de electricidad que minimizan …

Seminars

2024

Innovación gubernamental en la era de la inteligencia artificial:

Diseño óptimo de subastas de electricidad desde el aprendizaje profundo:

Preserving Heritage:

Developing a Translation Tool for Indigenous Dialects

Entendiendo el rol de las mucinas en salud humana:

DP-Auditorium:

A library for auditing differential privacy

2023

Police & Thieves:

an Equilibrium Spatial Model of Crime and Surveillance

Data-driven material balance models in waterfloods:

Estimation of Morse indices:

Of a topological variety from an iid sample of data.

Data augmentation:

For medical images

Methods to design:

Operate and evaluate systems in uncertain environments

RELand:

Algorithmic estimation of antipersonnel landmine risk

Truth Commission data:

estimated underreporting of victims

Analysis of the fairness of the most common models in Predictive Security:

Policy evaluation under Markovian noise:

using Online Bootstrap Inference algorithm

Batch Learning SDDP for Long-Term Hydrothermal Planning:

The holographic principle (A historical perspective):

Predicting and Visualizing Safety Risks for Ride-hailing Drivers:

Data analytics for sustainability:

Differentiation in Differences in Difference designs:

milder alternatives to parallel trends and improved pre-trends tests

Double-robust estimators in log-linear capture-recapture models:

Non-Price Competition and Risk Selection Through Hospital Networks:

Road to the Future:

Identifying Impacts of Roads on Education in Colombia

Explainable artificial intelligence (XAI):

Problems and prospects

Prediction of vehicular accident fatalities in Bogota:

2022

Learning and planning under uncertainty:

For wildlife conservation

Close elections regression discontinuity designs:

in multi-seat systems

Towards Data Driven Networked Epidemic Modeling:

Indigenous Communities:

In the Huasteca Potosina

Use of Artificial Neural Networks:

For Causal Inference Through Synthetic Control

Boosting Algorithms:

For Classification and Linear Regression Models

Detection of observations:

In electronic bidding documents for public procurement audits

Modelling Under-reported Spatio-temporal:

Events

Learning policies for decision-making with causal machine learning:

The case of development financing

Statistical methods:

For the quantification of the armed conflict in Colombia

A model-based filter to improve local differential privacy:

Multidimensional poverty measurement:

Focused on individual deprivation and preferences for Colombia

Perreology:

How to use music in statistical analysis?

Optimization for park rangers:

Design of patrolling agendas in a nature reserve in Ecuador

A Proposal of Best Practices for Risk Adjustment in Colombia:

Risk selection through hospital networks:

The place of law in the urban digital era:

A fair allocation algorithm for predictive police patrolling:

Large-Scale Microgrids Optimal Management:

Effect of adolescent victimization on future delinquent behaviors:

Using nonparametric causal inference techniques

Model validation:

For the prediction of homicides in Bogota

Alternatives in Spectral Clustering:

Homophily and co-evaluation of networks and opinions:

Identification of human trafficking networks:

In online escort ads written in Spanish

Coalitional Stability in Matching Problems with Externalities and Random Preferences: