Rotated Mean-Field Variational Inference and Iterative Gaussianization
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Yifan, Liu, Sifan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference
by: Kim, Kyurae, et al.
Published: (2025)
by: Kim, Kyurae, et al.
Published: (2025)
Mode Collapse of Mean-Field Variational Inference
by: Sheng, Shunan, et al.
Published: (2025)
by: Sheng, Shunan, et al.
Published: (2025)
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix
by: Margossian, Charles C., et al.
Published: (2024)
by: Margossian, Charles C., et al.
Published: (2024)
Transport Quasi-Monte Carlo
by: Liu, Sifan
Published: (2024)
by: Liu, Sifan
Published: (2024)
Adaptive Exponential Integration for Stable Gaussian Mixture Black-Box Variational Inference
by: Che, Baojun, et al.
Published: (2026)
by: Che, Baojun, et al.
Published: (2026)
Scalable Mean-Field Variational Inference via Preconditioned Primal-Dual Optimization
by: Lyu, Jinhua, et al.
Published: (2026)
by: Lyu, Jinhua, et al.
Published: (2026)
Flexible Selective Inference with Flow-based Transport Maps
by: Liu, Sifan, et al.
Published: (2025)
by: Liu, Sifan, et al.
Published: (2025)
Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems
by: Che, Baojun, et al.
Published: (2025)
by: Che, Baojun, et al.
Published: (2025)
Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance
by: Chen, Yifan, et al.
Published: (2023)
by: Chen, Yifan, et al.
Published: (2023)
Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation
by: Wu, Bohan, et al.
Published: (2024)
by: Wu, Bohan, et al.
Published: (2024)
Variational Transdimensional Inference
by: Davies, Laurence, et al.
Published: (2025)
by: Davies, Laurence, et al.
Published: (2025)
Variational Inference with Mixtures of Isotropic Gaussians
by: Petit-Talamon, Marguerite, et al.
Published: (2025)
by: Petit-Talamon, Marguerite, et al.
Published: (2025)
Augmenting Math Word Problems via Iterative Question Composing
by: Liu, Haoxiong, et al.
Published: (2024)
by: Liu, Haoxiong, et al.
Published: (2024)
Provably Scalable Black-Box Variational Inference with Structured Variational Families
by: Ko, Joohwan, et al.
Published: (2024)
by: Ko, Joohwan, et al.
Published: (2024)
MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods
by: Xu, Zukang, et al.
Published: (2025)
by: Xu, Zukang, et al.
Published: (2025)
Stability of Mean-Field Variational Inference
by: Sheng, Shunan, et al.
Published: (2025)
by: Sheng, Shunan, et al.
Published: (2025)
Sparse Orthogonal Variational Inference for Gaussian Processes
by: Shi, Jiaxin, et al.
Published: (2019)
by: Shi, Jiaxin, et al.
Published: (2019)
Amortized Variational Inference for Deep Gaussian Processes
by: Meng, Qiuxian, et al.
Published: (2024)
by: Meng, Qiuxian, et al.
Published: (2024)
Pathwise Gradient Variance Reduction with Control Variates in Variational Inference
by: Ng, Kenyon, et al.
Published: (2024)
by: Ng, Kenyon, et al.
Published: (2024)
A Frequentist Statistical Introduction to Variational Inference, Autoencoders, and Diffusion Models
by: Chen, Yen-Chi
Published: (2025)
by: Chen, Yen-Chi
Published: (2025)
Mean-field Variational Bayes for Sparse Probit Regression
by: Fasano, Augusto, et al.
Published: (2026)
by: Fasano, Augusto, et al.
Published: (2026)
Variational Inference for Bayesian MIDAS Regression
by: Simeone, Luigi
Published: (2026)
by: Simeone, Luigi
Published: (2026)
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs
by: Margossian, Charles C., et al.
Published: (2024)
by: Margossian, Charles C., et al.
Published: (2024)
Even More Guarantees for Variational Inference in the Presence of Symmetries
by: Zellinger, Lena, et al.
Published: (2026)
by: Zellinger, Lena, et al.
Published: (2026)
Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference
by: Lin, Zhidi, et al.
Published: (2023)
by: Lin, Zhidi, et al.
Published: (2023)
Diffusion Bridge Variational Inference for Deep Gaussian Processes
by: Xu, Jian, et al.
Published: (2025)
by: Xu, Jian, et al.
Published: (2025)
Generalized Guarantees for Variational Inference in the Presence of Even and Elliptical Symmetry
by: Margossian, Charles C., et al.
Published: (2025)
by: Margossian, Charles C., et al.
Published: (2025)
I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit Large Language Models
by: Hu, Xing, et al.
Published: (2024)
by: Hu, Xing, et al.
Published: (2024)
Mean-Field Microcanonical Gradient Descent
by: Häggbom, Marcus, et al.
Published: (2024)
by: Häggbom, Marcus, et al.
Published: (2024)
Wasserstein Gaussianization and Efficient Variational Bayes for Robust Bayesian Synthetic Likelihood
by: Nguyen, Nhat-Minh, et al.
Published: (2023)
by: Nguyen, Nhat-Minh, et al.
Published: (2023)
FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering
by: Qin, Juehang, et al.
Published: (2025)
by: Qin, Juehang, et al.
Published: (2025)
Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians
by: Huix, Tom, et al.
Published: (2024)
by: Huix, Tom, et al.
Published: (2024)
Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference
by: Jiang, Xiaoyu, et al.
Published: (2024)
by: Jiang, Xiaoyu, et al.
Published: (2024)
Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input
by: Chen, Ziang, et al.
Published: (2024)
by: Chen, Ziang, et al.
Published: (2024)
Enforcing hidden physics in physics-informed neural networks
by: Chen, Nanxi, et al.
Published: (2025)
by: Chen, Nanxi, et al.
Published: (2025)
Sharp-PINNs: staggered hard-constrained physics-informed neural networks for phase field modelling of corrosion
by: Chen, Nanxi, et al.
Published: (2025)
by: Chen, Nanxi, et al.
Published: (2025)
Variational Inference Using Material Point Method
by: Huang, Yongchao
Published: (2024)
by: Huang, Yongchao
Published: (2024)
Neural Mean-Field Games: Extending Mean-Field Game Theory with Neural Stochastic Differential Equations
by: Thöni, Anna C. M., et al.
Published: (2025)
by: Thöni, Anna C. M., et al.
Published: (2025)
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?
by: Kim, Kyurae, et al.
Published: (2023)
by: Kim, Kyurae, et al.
Published: (2023)
Latent Thought Models with Variational Bayes Inference-Time Computation
by: Kong, Deqian, et al.
Published: (2025)
by: Kong, Deqian, et al.
Published: (2025)
Similar Items
-
Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference
by: Kim, Kyurae, et al.
Published: (2025) -
Mode Collapse of Mean-Field Variational Inference
by: Sheng, Shunan, et al.
Published: (2025) -
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix
by: Margossian, Charles C., et al.
Published: (2024) -
Transport Quasi-Monte Carlo
by: Liu, Sifan
Published: (2024) -
Adaptive Exponential Integration for Stable Gaussian Mixture Black-Box Variational Inference
by: Che, Baojun, et al.
Published: (2026)