Variational Estimators for Node Popularity Models
Fuente:
arXiv
Saved in:
| Main Authors: | Karki, Jony, Huang, Dongzhou, Zhao, Yunpeng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Differentiable Interacting Multiple Model Particle Filtering
by: Brady, John-Joseph, et al.
Published: (2024)
by: Brady, John-Joseph, et al.
Published: (2024)
The Bernstein-von Mises theorem for Bayesian one-pass online learning
by: Lee, Jeyong, et al.
Published: (2026)
by: Lee, Jeyong, et al.
Published: (2026)
Asymptotic Theory for Graphical SLOPE: Precision Estimation and Pattern Convergence
by: Hejný, Ivan, et al.
Published: (2026)
by: Hejný, Ivan, et al.
Published: (2026)
Statistical Inference with Stochastic Gradient Methods under $ϕ$-mixing Data
by: Liu, Ruiqi, et al.
Published: (2023)
by: Liu, Ruiqi, et al.
Published: (2023)
On Bayesian Softmax-Gated Mixture-of-Experts Models
by: Bariletto, Nicola, et al.
Published: (2026)
by: Bariletto, Nicola, et al.
Published: (2026)
Simultaneous Heterogeneity and Reduced-rank Learning for Multivariate Response Regression
by: Wu, Jie, et al.
Published: (2025)
by: Wu, Jie, et al.
Published: (2025)
Dimension-free uniform concentration bound for logistic regression
by: Nakakita, Shogo
Published: (2024)
by: Nakakita, Shogo
Published: (2024)
MIBoost: A gradient boosting algorithm for variable selection after multiple imputation
by: Kuchen, Robert
Published: (2025)
by: Kuchen, Robert
Published: (2025)
Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity
by: Wang, Shixiong, et al.
Published: (2023)
by: Wang, Shixiong, et al.
Published: (2023)
Distributional Robustness Bounds Generalization Errors
by: Wang, Shixiong, et al.
Published: (2022)
by: Wang, Shixiong, et al.
Published: (2022)
Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models
by: Dreveton, Maximilien, et al.
Published: (2024)
by: Dreveton, Maximilien, et al.
Published: (2024)
Inference for high-dimensional linear expectile regression with de-biased method
by: Li, Xiang, et al.
Published: (2024)
by: Li, Xiang, et al.
Published: (2024)
DecoR: Deconfounding Time Series with Robust Regression
by: Schur, Felix, et al.
Published: (2024)
by: Schur, Felix, et al.
Published: (2024)
From Tail Universality to Bernstein-von Mises: A Unified Statistical Theory of Semi-Implicit Variational Inference
by: Plummer, Sean
Published: (2025)
by: Plummer, Sean
Published: (2025)
Mixed Semi-Supervised Generalized-Linear-Regression with Applications to Deep-Learning and Interpolators
by: Yuval, Oren, et al.
Published: (2023)
by: Yuval, Oren, et al.
Published: (2023)
Moment-Based Inference for Regression with Latent Dirichlet Covariates
by: Jiang, Ziyu
Published: (2026)
by: Jiang, Ziyu
Published: (2026)
Differentiable Calibration of Inexact Stochastic Simulation Models via Kernel Score Minimization
by: Su, Ziwei, et al.
Published: (2024)
by: Su, Ziwei, et al.
Published: (2024)
Amortized Variational Inference for Logistic Regression with Missing Covariates
by: Cherifi, M., et al.
Published: (2026)
by: Cherifi, M., et al.
Published: (2026)
Near optimal sample complexity for matrix and tensor normal models via geodesic convexity
by: Franks, Cole, et al.
Published: (2021)
by: Franks, Cole, et al.
Published: (2021)
Laplace Variational Inference for Bayesian Envelope Models
by: Kim, Seunghyeon, et al.
Published: (2026)
by: Kim, Seunghyeon, et al.
Published: (2026)
Bayesian inference with sources of uncertainty: from confidence modelling to sparse estimation
by: Rosa, Rafael Mouallem, et al.
Published: (2026)
by: Rosa, Rafael Mouallem, et al.
Published: (2026)
Asymptotics of Stochastic Gradient Descent with Dropout Regularization in Linear Models
by: Li, Jiaqi, et al.
Published: (2024)
by: Li, Jiaqi, et al.
Published: (2024)
Estimation Method under Three-Parameter Generalized Exponential Model: Consistency, Uniqueness and its Applications
by: Prajapat, Kiran, et al.
Published: (2024)
by: Prajapat, Kiran, et al.
Published: (2024)
Multivariate MM-estimators with auxiliary Scale for Linear Models with Structured Covariance Matrices
by: Lopuhaa, Hendrik Paul
Published: (2025)
by: Lopuhaa, Hendrik Paul
Published: (2025)
Shrinkage to Infinity: Reducing Test Error by Inflating the Minimum Norm Interpolator in Linear Models
by: Freeman, Jake
Published: (2025)
by: Freeman, Jake
Published: (2025)
Fused Multinomial Logistic Regression Utilizing Summary-Level External Machine-learning Information
by: Dai, Chi-Shian, et al.
Published: (2026)
by: Dai, Chi-Shian, et al.
Published: (2026)
Almost exact recovery in noisy semi-supervised learning
by: Avrachenkov, Konstantin, et al.
Published: (2020)
by: Avrachenkov, Konstantin, et al.
Published: (2020)
Statistical Inference for Low-Rank Tensor Models
by: Xu, Ke, et al.
Published: (2025)
by: Xu, Ke, et al.
Published: (2025)
When Does Dynamic Preconditioning Preserve the Polyak-Ruppert CLT? A Stabilization Threshold
by: An, Sunyoung, et al.
Published: (2026)
by: An, Sunyoung, et al.
Published: (2026)
Wasserstein-Cramér-Rao Theory of Unbiased Estimation
by: Trillos, Nicolás García, et al.
Published: (2025)
by: Trillos, Nicolás García, et al.
Published: (2025)
Fixed-Horizon Self-Normalized Inference for Adaptive Experiments via Martingale AIPW/DML with Logged Propensities
by: Saco, Gabriel
Published: (2026)
by: Saco, Gabriel
Published: (2026)
Heavy Tail Robust Estimation and Inference for Average Treatment Effects
by: Hill, Jonathan B., et al.
Published: (2024)
by: Hill, Jonathan B., et al.
Published: (2024)
Mixture of segmentation for heterogeneous functional data
by: Brault, Vincent, et al.
Published: (2023)
by: Brault, Vincent, et al.
Published: (2023)
Improved estimators in Bell regression model with application
by: Seifollahi, Solmaz, et al.
Published: (2024)
by: Seifollahi, Solmaz, et al.
Published: (2024)
Jeffreys-prior penalty for high-dimensional logistic regression: A conjecture about aggregate bias
by: Kosmidis, Ioannis, et al.
Published: (2023)
by: Kosmidis, Ioannis, et al.
Published: (2023)
Bounded-memory adjusted scores estimation in generalized linear models with large data sets
by: Zietkiewicz, Patrick, et al.
Published: (2023)
by: Zietkiewicz, Patrick, et al.
Published: (2023)
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation
by: Tan, Hong Ye, et al.
Published: (2024)
by: Tan, Hong Ye, et al.
Published: (2024)
Diaconis-Ylvisaker prior penalized likelihood for $p/n \to κ\in (0,1)$ logistic regression
by: Sterzinger, Philipp, et al.
Published: (2023)
by: Sterzinger, Philipp, et al.
Published: (2023)
Statistical inference for extremal directions in high-dimensional spaces
by: Butsch, Lucas, et al.
Published: (2026)
by: Butsch, Lucas, et al.
Published: (2026)
Bayesian Inference for Left-Truncated Log-Logistic Distributions for Time-to-event Data Analysis
by: Mostafa, Fahad, et al.
Published: (2025)
by: Mostafa, Fahad, et al.
Published: (2025)
Similar Items
-
Differentiable Interacting Multiple Model Particle Filtering
by: Brady, John-Joseph, et al.
Published: (2024) -
The Bernstein-von Mises theorem for Bayesian one-pass online learning
by: Lee, Jeyong, et al.
Published: (2026) -
Asymptotic Theory for Graphical SLOPE: Precision Estimation and Pattern Convergence
by: Hejný, Ivan, et al.
Published: (2026) -
Statistical Inference with Stochastic Gradient Methods under $ϕ$-mixing Data
by: Liu, Ruiqi, et al.
Published: (2023) -
On Bayesian Softmax-Gated Mixture-of-Experts Models
by: Bariletto, Nicola, et al.
Published: (2026)