https://deepai.org/publication/guiding-energy-based-models-via-contrastive-latent-variables
Guiding Energy-based Models via Contrastive Latent Variables | DeepAI
Mar 6, 2023 - 03/06/23 - An energy-based model (EBM) is a popular generative framework that offers both explicit density and architectural flexibility, but...
latent variablesguidingenergybasedmodels
https://openreview.net/forum?id=BZYIEw4mcY
Efficient and Trustworthy Causal Discovery with Latent Variables and Complex Relations | OpenReview
Most traditional causal discovery methods assume that all task-relevant variables are observed, an assumption often violated in practice. Although some recent...
causal discoverylatent variablesefficienttrustworthy
https://elifesciences.org/articles/89337
Neural criticality from effective latent variables | eLife
Signatures of criticality that have been observed across diverse neural systems, such as power-law avalanche distributions and exponent relationships, can...
latent variablesneuralcriticalityeffectiveelife
https://deepai.org/publication/posterior-ratio-estimation-for-latent-variables
Posterior Ratio Estimation for Latent Variables | DeepAI
Feb 15, 2020 - 02/15/20 - Density Ratio Estimation has attracted attention from machine learning community due to its ability of comparing the underlying di...
latent variablesposteriorratioestimationdeepai
https://openreview.net/forum?id=fGhr39bqZa
Recovery of Causal Graph Involving Latent Variables via Homologous Surrogates | OpenReview
Causal discovery with latent variables is an important and challenging problem. To identify latent variables and infer their causal relations, most existing...
latent variablesrecoverycausalgraph
https://ideas.repec.org/p/hhs/gunefd/2020_022.html
Assessing the Incorporation of Latent Variables in the Estimation of the Value of a Statistical Life
Downloadable! We explore the incorporation of latent variables (attitudes, beliefs, and perceptions) in the estimation of the value of a statistical life using...
latent variables
https://openreview.net/forum?id=tCB-SCt5wWG
Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable |...
Learning the ancestral graph by partial information under active interventions and identifying the causal effects.
latent variables
https://en.wikipedia.org/wiki/Latent_variable
Latent and observable variables - Wikipedia
latentobservablevariableswikipedia
https://arxiv.org/html/2506.07517v1
Addressing Correlated Latent Exogenous Variables in Debiased Recommender Systems
addressingcorrelatedlatentvariablesrecommender
https://www.iza.org/publications/dp/12740/the-intergenerational-transmission-of-health-in-the-united-states-a-latent-variables-analysis
The Intergenerational Transmission of Health in the United States: A Latent Variables Analysis |...
Social scientists have long documented that many components of socioeconomic status such as income and education have strong ties across generations....
https://jmlr.org/papers/v21/19-407.html
Switching Regression Models and Causal Inference in the Presence of Discrete Latent Variables
https://jmlr.org/papers/v21/19-260.html
Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables
causal models
https://jmlr.org/papers/v26/24-0309.html
Substitute Adjustment via Recovery of Latent Variables
substituteadjustmentviarecoverylatent
https://arxiv.org/abs/2008.03971v1
[2008.03971v1] A Note on Likelihood Ratio Tests for Models with Latent Variables
Abstract page for arXiv paper 2008.03971v1: A Note on Likelihood Ratio Tests for Models with Latent Variables
https://arxiv.org/abs/0806.4802
[0806.4802] A new Hedging algorithm and its application to inferring latent random variables
Abstract page for arXiv paper 0806.4802: A new Hedging algorithm and its application to inferring latent random variables
https://jmlr.org/papers/v21/19-930.html
Efficient Inference for Nonparametric Hawkes Processes Using Auxiliary Latent Variables
efficientinferencehawkesprocessesusing
https://openreview.net/forum?id=pUZBQd-yFk7
Robustifying Algorithms of Learning Latent Trees with Vector Variables | OpenReview
We robustify the structure learning algorithms of latent tree-structured graphical models and derive the first instance-dependent impossibility result of...
algorithmslearninglatenttreesvector