Cover Image

Stereographic Multiple-Try Metropolis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Zhihao, Yang, Jun
Format:	Preprint
Published:	2025
Subjects:	Computation Methodology Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stereographic Markov Chain Monte Carlo
by: Yang, Jun, et al.
Published: (2022)

Metropolis Sampling
by: Martino, Luca, et al.
Published: (2017)

Fast Rerandomization for Balancing Covariates in Randomized Experiments: A Metropolis-Hastings Framework
by: Lu, Jiuyao, et al.
Published: (2026)

Bayesian Multiple Multivariate Density-Density Regression
by: Nguyen, Khai, et al.
Published: (2026)

Multiple Linked Tensor Factorization
by: Kang, Zhiyu, et al.
Published: (2025)

Geometric-Based Pruning Rules For Change Point Detection in Multiple Independent Time Series
by: Pishchagina, Liudmila, et al.
Published: (2023)

A Metropolis-Adjusted Langevin Algorithm for Sampling Jeffreys Prior
by: Shi, Yibo, et al.
Published: (2025)

Spectral gap of Metropolis-within-Gibbs under log-concavity
by: Secchi, Cecilia, et al.
Published: (2025)

Non-Vacuous Certification of Transport MCMC via Oscillation-Controlled Normalizing Flows
by: Hu, Jun
Published: (2026)

Simulation-based Inference via Langevin Dynamics with Score Matching
by: Jiang, Haoyu, et al.
Published: (2025)

DeepVARMA: A Hybrid Deep Learning and VARMA Model for Chemical Industry Index Forecasting
by: Li, Xiang, et al.
Published: (2024)

Penalized Fair Regression for Multiple Groups in Chronic Kidney Disease
by: Nakamoto, Carter H., et al.
Published: (2025)

Better Locally Private Sparse Estimation Given Multiple Samples Per User
by: Ma, Yuheng, et al.
Published: (2024)

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

Feedback-Enhanced Online Multiple Testing with Applications to Conformal Selection
by: Lu, Lin, et al.
Published: (2025)

Markov chain Monte Carlo without evaluating the target: an auxiliary variable approach
by: Yuan, Wei, et al.
Published: (2024)

A New Forward Discriminant Analysis Framework Based On Pillai's Trace and ULDA
by: Wang, Siyu, et al.
Published: (2024)

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

Uncertainty Quantification With Multiple Sources
by: Ying, Mufang, et al.
Published: (2024)

On the Computational Complexity of Private High-dimensional Model Selection
by: Roy, Saptarshi, et al.
Published: (2023)

Learning Multi-type heterogeneous interacting particle systems
by: Lang, Quanjun, et al.
Published: (2026)

Probabilistic size-and-shape functional mixed models
by: Wang, Fangyi, et al.
Published: (2024)

Gradient Boosted Mixed Models: Flexible Joint Estimation of Mean and Variance Components for Clustered Data
by: Prevett, Mitchell L., et al.
Published: (2025)

Scalable Subset Selection in Linear Mixed Models
by: Thompson, Ryan, et al.
Published: (2025)

Active Multiple-Prediction-Powered Inference
by: Brawand, Nicholas, et al.
Published: (2026)

A Consistent and Scalable Algorithm for Best Subset Selection in Single Index Models
by: Tang, Borui, et al.
Published: (2023)

SADA: Safe and Adaptive Aggregation of Multiple Black-Box Predictions in Semi-Supervised Learning
by: Shan, Jiawei, et al.
Published: (2025)

Synthetic-Powered Multiple Testing with FDR Control
by: Lee, Yonghoon, et al.
Published: (2026)

Structured Learning in Time-dependent Cox Models
by: Wang, Guanbo, et al.
Published: (2023)

Optimal Sampling for Generalized Linear Model under Measurement Constraint with Surrogate Variables
by: Shen, Yixin, et al.
Published: (2025)

IOCC: Aligning Semantic and Cluster Centers for Few-shot Short Text Clustering
by: Yin, Jixuan, et al.
Published: (2025)

Actively Learning Joint Contours of Multiple Computer Experiments
by: Prim, Shih-Ni, et al.
Published: (2025)

Unified Conformalized Multiple Testing with Full Data Efficiency
by: Huo, Yuyang, et al.
Published: (2025)

Coefficient Shape Alignment in Multiple Functional Linear Regression
by: Jiao, Shuhao, et al.
Published: (2023)

Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data
by: Fisher, Zachary F., et al.
Published: (2020)

A Locally Adaptive Algorithm for Multiple Testing with Network Structure
by: Liang, Ziyi, et al.
Published: (2022)

Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains
by: Wilkins-Reeves, Steven, et al.
Published: (2024)

Low-Complexity and Consistent Graphon Estimation from Multiple Networks
by: Sogan, Roland Boniface, et al.
Published: (2026)

Bayesian Multivariate Density-Density Regression
by: Nguyen, Khai, et al.
Published: (2025)

MMCE: A Framework for Deep Monotonic Modeling of Multiple Causal Effects
by: Chen, Juhua, et al.
Published: (2025)