Publications associées à Latent variable model

An Ordinal Latent Variable Model of Conflict Intensity

Measuring the intensity of events is crucial for monitoring and tracking armed conflict. Advances in automated event extraction have yielded massive data sets of '' who did what to whom '' micro-records that enable datadriven approaches to monitoring confl ...

Assoc Computational Linguistics-Acl2023

Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables

Negar Kiyavash, Saber Salehkaleybar, Kun Zhang

We consider the problem of learning causal models from observational data generated by linear non-Gaussian acyclic causal models with latent variables. Without considering the effect of latent variables, the inferred causal relationships among the observed ...

MICROTOME PUBL2020

Collaborative Recurrent Neural Networks for Dynamic Recommender Systems

Matthias Grossglauser, Lucas Maystre, Young Jun Ko

Modern technologies enable us to record sequences of online user activity at an unprecedented scale. Although such activity logs are abundantly available, most approaches to recommender systems are based on the rating-prediction paradigm, ignoring temporal ...

2016

Correcting for endogeneity due to omitted attitudes: Empirical assessment of a modified MIS method using RP mode choice data

Michel Bierlaire, Matthieu Marie Cochon de Lapparent, Anna Fernández Antolín

In this paper we extend the Multiple Indicator Solution (MIS) so that it can also be used to account for endogeneity when there are interactions between observed and unobserved factors in the specification of the utility function. We develop the theoretica ...

Elsevier Sci Ltd2016

Correcting for endogeneity using the multiple indicator solution

Michel Bierlaire, Matthieu Marie Cochon de Lapparent, Anna Fernández Antolín

In this paper we extend the Multiple Indicator Solution (MIS),used to correct for endogeneity, so that it can also be used when there are interactions between observed and unobserved factors in the specification of the utility function. We show the theoret ...

2016

Correcting for endogeneity using the EMIS method: a case study with revealed preference data

Michel Bierlaire, Anna Fernández Antolín

Endogeneity is an important issue that often arises in discrete choice models leading to biased estimates of the parameters. We propose the extended multiple indicator solution (EMIS) methodology to correct for it and exemplify it with a case study using r ...

2015

Modeling consideration for electric vehicles and plug-in electric vehicles in car renewal

Michel Bierlaire, Matthieu Marie Cochon de Lapparent, Anna Fernández Antolín, Maurin Baillif

We propose a behaviorally sound model capable of simulating choice set generation for car renewal. It appears at an upper layer of a choice model of a new car. Our model sheds light on potential latent demand for electric cars. We develop a hierarchical la ...

2015

On the Performance Characteristics of Latent-Factor and Knowledge Tracing Models

Modeling student knowledge is a fundamental task of an intelligent tutoring system. A popular approach for modeling the acquisition of knowledge is Bayesian Knowledge Tracing (BKT). Various extensions to the original BKT model have been proposed, among the ...

8th International Conference on Educational Data Mining, EDM 20152015

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Latent variable model

An Ordinal Latent Variable Model of Conflict Intensity

Personalizable intervention systems to promote healthy behavior change

Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables

Collaborative Recurrent Neural Networks for Dynamic Recommender Systems

Correcting for endogeneity due to omitted attitudes: Empirical assessment of a modified MIS method using RP mode choice data

Correcting for endogeneity using the multiple indicator solution

Correcting for endogeneity using the EMIS method: a case study with revealed preference data

Modeling consideration for electric vehicles and plug-in electric vehicles in car renewal

Model selection for partial least squares calibration and implications for analysis of atmospheric organic aerosol samples with mid-infrared spectroscopy

On the Performance Characteristics of Latent-Factor and Knowledge Tracing Models

Graph Chatbot

Chattez avec Graph Search

On the Performance Characteristics of Latent-Factor and Knowledge Tracing Models

Collaborative Recurrent Neural Networks for Dynamic Recommender Systems

An Ordinal Latent Variable Model of Conflict Intensity

Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables

Correcting for endogeneity due to omitted attitudes: Empirical assessment of a modified MIS method using RP mode choice data

Personalizable intervention systems to promote healthy behavior change

Correcting for endogeneity using the multiple indicator solution

Modeling consideration for electric vehicles and plug-in electric vehicles in car renewal

Correcting for endogeneity using the EMIS method: a case study with revealed preference data

Model selection for partial least squares calibration and implications for analysis of atmospheric organic aerosol samples with mid-infrared spectroscopy