Pinned Repositories
ACRA_spam_experiment
aml_bayes
Code for the paper: Adversarial Machine Learning: Bayesian Perspectives
aps
Code to run the simulations in the paper "Augmented Probability Simulation Methods for Non-cooperative Games".
corrupting_hmms
covid-icmat
Ideas and Resources
curso-Bayes-JAE
curso-ml-R
Curso de aprendizaje automático en R
GM_SG
Gradient Methods to solve Stackelberg Games
ml4md-course
sbbo
Simulation based Bayesian Optimization
roinaveiro's Repositories
roinaveiro/aml_bayes
Code for the paper: Adversarial Machine Learning: Bayesian Perspectives
roinaveiro/GM_SG
Gradient Methods to solve Stackelberg Games
roinaveiro/ml4md-course
roinaveiro/sbbo
Simulation based Bayesian Optimization
roinaveiro/ACRA_spam_experiment
roinaveiro/corrupting_hmms
roinaveiro/ads_lane_changing
Code for reproducing experiments in paper "Adversarial Risk Analysis for Heterogeneous Traffic Management"
roinaveiro/aps
Code to run the simulations in the paper "Augmented Probability Simulation Methods for Non-cooperative Games".
roinaveiro/covid-icmat
Ideas and Resources
roinaveiro/curso-Bayes-JAE
roinaveiro/curso-ml-R
Curso de aprendizaje automático en R
roinaveiro/ACRA_2
roinaveiro/ads_trusto
roinaveiro/Best-README-Template
An awesome README template to jumpstart your projects!
roinaveiro/CU-analisis-datos
roinaveiro/CU-estadistica
roinaveiro/CU-programacion
roinaveiro/cunef-server
Wiki for CUNEF Server
roinaveiro/curso-ml-JAE
roinaveiro/data_efficient_grammar
[ICLR 2022] Data-Efficient Graph Grammar Learning for Molecular Generation
roinaveiro/dna_optim
roinaveiro/EvoMol
Evolutionary algorithm for molecular properties optimization
roinaveiro/gen-millad
roinaveiro/molecular_design_papers
roinaveiro/openai-python
roinaveiro/opydlm
roinaveiro/preferences_ads
roinaveiro/roinaveiro.github.io
:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
roinaveiro/samsi-deep-learning
Practical materials for the Deep Learning course at SAMSI/Duke Uni
roinaveiro/talks
Research Talks