Dependent Latent Class Models
Fuente:
arXiv
Saved in:
| Main Authors: | Bowers, Jesse, Culpepper, Steve |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Equivalence Set Restricted Latent Class Models (ESRLCM)
by: Bowers, Jesse, et al.
Published: (2024)
by: Bowers, Jesse, et al.
Published: (2024)
Causal Discovery under Latent Class Confounding
by: Mazaheri, Bijan, et al.
Published: (2023)
by: Mazaheri, Bijan, et al.
Published: (2023)
A Theory of Universal Agnostic Learning
by: Hanneke, Steve, et al.
Published: (2026)
by: Hanneke, Steve, et al.
Published: (2026)
Implicit Regularisation in Diffusion Models: An Algorithm-Dependent Generalisation Analysis
by: Farghly, Tyler, et al.
Published: (2025)
by: Farghly, Tyler, et al.
Published: (2025)
Adaptation to Intrinsic Dependence in Diffusion Language Models
by: Zhao, Yunxiao, et al.
Published: (2026)
by: Zhao, Yunxiao, et al.
Published: (2026)
Recovery Guarantees for Continual Learning of Dependent Tasks: Memory, Data-Dependent Regularization, and Data-Dependent Weights
by: Peng, Liangzu, et al.
Published: (2026)
by: Peng, Liangzu, et al.
Published: (2026)
Trek-Based Parameter Identification for Linear Causal Models With Arbitrarily Structured Latent Variables
by: Sturma, Nils, et al.
Published: (2025)
by: Sturma, Nils, et al.
Published: (2025)
Efficient Agnostic Learning with Average Smoothness
by: Hanneke, Steve, et al.
Published: (2023)
by: Hanneke, Steve, et al.
Published: (2023)
Lower Bounds on the Size of Markov Equivalence Classes
by: Jahn, Erik, et al.
Published: (2025)
by: Jahn, Erik, et al.
Published: (2025)
Optimal Discriminant Analysis in High-Dimensional Latent Factor Models
by: Bing, Xin, et al.
Published: (2022)
by: Bing, Xin, et al.
Published: (2022)
Structured Optimal Variational Inference for Dynamic Latent Space Models
by: Zhao, Peng, et al.
Published: (2022)
by: Zhao, Peng, et al.
Published: (2022)
On the Natural Gradient of the Evidence Lower Bound
by: Ay, Nihat, et al.
Published: (2023)
by: Ay, Nihat, et al.
Published: (2023)
Fine-Grained Uncertainty Quantification via Collisions
by: Friedbaum, Jesse, et al.
Published: (2024)
by: Friedbaum, Jesse, et al.
Published: (2024)
Nearest-Neighbor Radii under Dependent Sampling
by: Gao, Yuanyuan, et al.
Published: (2026)
by: Gao, Yuanyuan, et al.
Published: (2026)
On the Limitation of Kernel Dependence Maximization for Feature Selection
by: Liu, Keli, et al.
Published: (2024)
by: Liu, Keli, et al.
Published: (2024)
On Observation Time for Recovering Latent Hawkes Networks
by: Linkerhägner, Jonas, et al.
Published: (2026)
by: Linkerhägner, Jonas, et al.
Published: (2026)
Model-free Estimation of Latent Structure via Multiscale Nonparametric Maximum Likelihood
by: Aragam, Bryon, et al.
Published: (2024)
by: Aragam, Bryon, et al.
Published: (2024)
Random Forests as Statistical Procedures: Design, Variance, and Dependence
by: O'Connell, Nathaniel S.
Published: (2026)
by: O'Connell, Nathaniel S.
Published: (2026)
Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables
by: Li, Zheng, et al.
Published: (2024)
by: Li, Zheng, et al.
Published: (2024)
Asymptotically Optimal Problem-Dependent Bandit Policies for Transfer Learning
by: Prevost, Adrien, et al.
Published: (2025)
by: Prevost, Adrien, et al.
Published: (2025)
Asymptotic Theory of Eigenvectors for Latent Embeddings with Generalized Laplacian Matrices
by: Fan, Jianqing, et al.
Published: (2025)
by: Fan, Jianqing, et al.
Published: (2025)
Agnostic Sample Compression Schemes for Regression
by: Attias, Idan, et al.
Published: (2018)
by: Attias, Idan, et al.
Published: (2018)
BELIEF in Dependence: Leveraging Atomic Linearity in Data Bits for Rethinking Generalized Linear Models
by: Brown, Benjamin, et al.
Published: (2022)
by: Brown, Benjamin, et al.
Published: (2022)
MIST: Reliable Streaming Decision Trees for Online Class-Incremental Learning via McDiarmid Bound
by: Pham, Phu-Hoa, et al.
Published: (2026)
by: Pham, Phu-Hoa, et al.
Published: (2026)
An Interpretable Measure for Quantifying Predictive Dependence between Continuous Random Variables -- Extended Version
by: Assunção, Renato, et al.
Published: (2025)
by: Assunção, Renato, et al.
Published: (2025)
Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data
by: Fu, Hengyu, et al.
Published: (2024)
by: Fu, Hengyu, et al.
Published: (2024)
Structured Matrix Learning under Arbitrary Entrywise Dependence and Estimation of Markov Transition Kernel
by: Chai, Jinhang, et al.
Published: (2024)
by: Chai, Jinhang, et al.
Published: (2024)
Knowledge-Embedded Latent Projection for Robust Representation Learning
by: Tang, Weijing, et al.
Published: (2026)
by: Tang, Weijing, et al.
Published: (2026)
Complexity Dependent Error Rates for Physics-informed Statistical Learning via the Small-ball Method
by: Marcondes, Diego
Published: (2025)
by: Marcondes, Diego
Published: (2025)
Adaptive Sample Aggregation In Transfer Learning
by: Hanneke, Steve, et al.
Published: (2024)
by: Hanneke, Steve, et al.
Published: (2024)
Learning under Latent Group Sparsity via Diffusion on Networks
by: Ghosh, Subhroshekhar, et al.
Published: (2025)
by: Ghosh, Subhroshekhar, et al.
Published: (2025)
Universality of High-Dimensional Logistic Regression and a Novel CGMT under Dependence with Applications to Data Augmentation
by: Mallory, Matthew Esmaili, et al.
Published: (2025)
by: Mallory, Matthew Esmaili, et al.
Published: (2025)
Foundations of Structural Causal Models with Latent Selection
by: Chen, Leihao, et al.
Published: (2024)
by: Chen, Leihao, et al.
Published: (2024)
Latent-IMH: Efficient Bayesian Inference for Inverse Problems with Approximate Operators
by: Chen, Youguang, et al.
Published: (2026)
by: Chen, Youguang, et al.
Published: (2026)
Geometric Calibration and Neutral Zones for Uncertainty-Aware Multi-Class Classification
by: Das, Soumojit, et al.
Published: (2025)
by: Das, Soumojit, et al.
Published: (2025)
SGD with Dependent Data: Optimal Estimation, Regret, and Inference
by: Shen, Yinan, et al.
Published: (2026)
by: Shen, Yinan, et al.
Published: (2026)
Characterizing Dependence of Samples along the Langevin Dynamics and Algorithms via Contraction of $Φ$-Mutual Information
by: Liang, Jiaming, et al.
Published: (2024)
by: Liang, Jiaming, et al.
Published: (2024)
On the Nonasymptotic Scaling Guarantee of Hyperparameter Estimation in Inhomogeneous, Weakly-Dependent Complex Network Dynamical Systems
by: Yu, Yi, et al.
Published: (2026)
by: Yu, Yi, et al.
Published: (2026)
Generalized Grade-of-Membership Estimation for High-dimensional Locally Dependent Data
by: Chen, Ling, et al.
Published: (2024)
by: Chen, Ling, et al.
Published: (2024)
Unfolding Tensors to Identify the Graph in Discrete Latent Bipartite Graphical Models
by: Gu, Yuqi
Published: (2025)
by: Gu, Yuqi
Published: (2025)
Similar Items
-
Equivalence Set Restricted Latent Class Models (ESRLCM)
by: Bowers, Jesse, et al.
Published: (2024) -
Causal Discovery under Latent Class Confounding
by: Mazaheri, Bijan, et al.
Published: (2023) -
A Theory of Universal Agnostic Learning
by: Hanneke, Steve, et al.
Published: (2026) -
Implicit Regularisation in Diffusion Models: An Algorithm-Dependent Generalisation Analysis
by: Farghly, Tyler, et al.
Published: (2025) -
Adaptation to Intrinsic Dependence in Diffusion Language Models
by: Zhao, Yunxiao, et al.
Published: (2026)