Zobrazeno 1 - 10
of 224
pro vyhledávání: '"Giménez, Jaime"'
Autor:
Gimenez, Jaime Roquero, Zou, James
Developing deep generative models that flexibly incorporate diverse measures of probability distance is an important area of research. Here we develop an unified mathematical framework of f-divergence generative model, f-GM, that incorporates both VA
Externí odkaz:
http://arxiv.org/abs/2205.05214
In causal inference, it is common to estimate the causal effect of a single treatment variable on an outcome. However, practitioners may also be interested in the effect of simultaneous interventions on multiple covariates of a fixed target variable.
Externí odkaz:
http://arxiv.org/abs/2106.03024
Autor:
Castillo Rodríguez, Julio Cesar, Sarabia Ruedas, Dafne Miroslava, Marco Buj, María Pilar, Bayarri, Bernardí, Giménez, Jaime, Tzompantzi Flores, Clara, Velásquez Torres, Mónica Esperanza, Pérez Hernández, Raúl, Tzompantzi-Morales, Francisco Javier
Publikováno v:
In Catalysis Today 1 May 2024 433
Autor:
Cunha, Rebeca Fabbro, da Silva, Thalita Ferreira, Cavalcante, Rodrigo Pereira, de Melo da Silva, Lucas, Nazario, Carlos Eduardo Domingues, Wender, Heberton, Casagrande, Gleison Antônio, Silva de Oliveira, Lincoln Carlos, Marco, Pilar, Giménez, Jaime, Sirés, Ignasi, Machulek Junior, Amilcar, de Oliveira, Silvio César
Publikováno v:
In Catalysis Today 15 April 2024 432
Publikováno v:
In Process Safety and Environmental Protection February 2024 182:903-917
Autor:
Gimenez, Jaime Roquero, Zou, James
Many datasets are collected from multiple environments (e.g. different labs, perturbations, etc.), and it is often advantageous to learn models and relations that are invariant across environments. Invariance can improve robustness to unknown confoun
Externí odkaz:
http://arxiv.org/abs/2002.08341
Autor:
Gimenez, Jaime Roquero, Zou, James
The goal of feature selection is to identify important features that are relevant to explain an outcome variable. Most of the work in this domain has focused on identifying globally relevant features, which are features that are related to the outcom
Externí odkaz:
http://arxiv.org/abs/1905.12177
Autor:
Gimenez, Jaime Roquero, Zou, James
The Model-X knockoff procedure has recently emerged as a powerful approach for feature selection with statistical guarantees. The advantage of knockoff is that if we have a good model of the features X, then we can identify salient features without k
Externí odkaz:
http://arxiv.org/abs/1810.11378
An important problem in machine learning and statistics is to identify features that causally affect the outcome. This is often impossible to do from purely observational data, and a natural relaxation is to identify features that are correlated with
Externí odkaz:
http://arxiv.org/abs/1807.06214
Autor:
López-Vinent, Núria, Cruz-Alcalde, Alberto, Moussavi, Gholamreza, del Castillo Gonzalez, Isabel, Hernandez Lehmann, Aurelio, Giménez, Jaime, Giannakis, Stefanos
Publikováno v:
In Chemical Engineering Journal 15 December 2022 450 Part 1