Cover Image

Anchored Variational Inference for Personalized Sequential Latent-State Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Guo, Xingche
Format:	Preprint
Published:	2026
Subjects:	Methodology Computation Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Joint modeling for learning decision-making dynamics in behavioral experiments
by: Bian, Yuan, et al.
Published: (2025)

HMM for Discovering Decision-Making Dynamics Using Reinforcement Learning Experiments
by: Guo, Xingche, et al.
Published: (2024)

Variational Transdimensional Inference
by: Davies, Laurence, et al.
Published: (2025)

Pathwise Gradient Variance Reduction with Control Variates in Variational Inference
by: Ng, Kenyon, et al.
Published: (2024)

Variational Inference for Bayesian MIDAS Regression
by: Simeone, Luigi
Published: (2026)

A Frequentist Statistical Introduction to Variational Inference, Autoencoders, and Diffusion Models
by: Chen, Yen-Chi
Published: (2025)

Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference
by: Kelly, Ryan P., et al.
Published: (2023)

Comparing Data Assimilation and Likelihood-Based Inference on Latent State Estimation in Agent-Based Models
by: Kolic, Blas, et al.
Published: (2025)

Federated Variational Inference for Bayesian Mixture Models
by: Rao, Jackie, et al.
Published: (2025)

VaSST: Variational Inference for Symbolic Regression using Soft Symbolic Trees
by: Roy, Somjit, et al.
Published: (2026)

Variational Inference with Coverage Guarantees in Simulation-Based Inference
by: Patel, Yash, et al.
Published: (2023)

Bayesian Federated Inference for Survival Models
by: Pazira, Hassan, et al.
Published: (2024)

Cumulative Marginal Mean Model for Assessing Sequential Effects Using Digital Health Data
by: Guo, Xingche, et al.
Published: (2025)

Sequential Adaptive Priors for Orthogonal Functions
by: Sugasawa, Shonosuke, et al.
Published: (2025)

Doubly Robust Inference in Causal Latent Factor Models
by: Abadie, Alberto, et al.
Published: (2024)

Variational predictive resampling
by: Battaglia, Laura, et al.
Published: (2026)

Robust, Accurate Stochastic Optimization for Variational Inference
by: Dhaka, Akash Kumar, et al.
Published: (2020)

A Latent Causal Inference Framework for Ordinal Variables
by: Scauda, Martina, et al.
Published: (2025)

Proximal Approximate Inference in State-Space Models
by: Abdulsamad, Hany, et al.
Published: (2025)

Causal Inference with Latent Variables: Recent Advances and Future Prospectives
by: Zhu, Yaochen, et al.
Published: (2024)

Robust Inference of Dynamic Covariance Using Wishart Processes and Sequential Monte Carlo
by: Huijsdens, Hester, et al.
Published: (2024)

Scalable Bayesian Inference for Generalized Linear Mixed Models via Stochastic Gradient MCMC
by: Berchuck, Samuel I., et al.
Published: (2024)

Latent Network Estimation and Variable Selection for Compositional Data via Variational EM
by: Osborne, Nathan, et al.
Published: (2020)

Fast Variational Bayes for Large Spatial Data
by: Song, Jiafang, et al.
Published: (2025)

SOFARI-R: High-Dimensional Manifold-Based Inference for Latent Responses
by: Zheng, Zemin, et al.
Published: (2025)

A Framework for Improving the Reliability of Black-box Variational Inference
by: Welandawe, Manushi, et al.
Published: (2022)

Variational Inference for the Latent Shrinkage Position Model
by: Gwee, Xian Yao, et al.
Published: (2023)

Statistical Inference for Online Algorithms
by: Carter, Selina, et al.
Published: (2025)

Generative Bayesian Inference with GANs
by: Wang, Yuexi, et al.
Published: (2022)

Mean-field Variational Bayes for Sparse Probit Regression
by: Fasano, Augusto, et al.
Published: (2026)

Inference for Large Scale Regression Models with Dependent Errors
by: Voirol, Lionel, et al.
Published: (2024)

Likelihood Based Inference in Fully and Partially Observed Exponential Family Graphical Models with Intractable Normalizing Constants
by: Chen, Yujie, et al.
Published: (2024)

Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation
by: Dirmeier, Simon, et al.
Published: (2023)

Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature
by: Li, Chengkun, et al.
Published: (2023)

Variational empirical Bayes variable selection in high-dimensional logistic regression
by: Tang, Yiqi, et al.
Published: (2025)

Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
by: Wang, Jitao, et al.
Published: (2025)

Vertical Consensus Inference for High-Dimensional Random Partition
by: Nguyen, Khai, et al.
Published: (2026)

Fiducial Matching: Differentially Private Inference for Categorical Data
by: Romanus, Ogonnaya Michael, et al.
Published: (2025)

Robust Inference Methods for Latent Group Panel Models under Possible Group Non-Separation
by: Akgun, Oguzhan, et al.
Published: (2025)

Optimizing Language Models for Human Preferences is a Causal Inference Problem
by: Lin, Victoria, et al.
Published: (2024)