Saved in:
| Main Authors: | Pavlovic, Liam, Rosen, David M. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.16195 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ELBOing Stein: Variational Bayes with Stein Mixture Inference
by: Rønning, Ola, et al.
Published: (2024)
by: Rønning, Ola, et al.
Published: (2024)
Dual Online Stein Variational Inference for Control and Dynamics
by: Barcelos, Lucas, et al.
Published: (2021)
by: Barcelos, Lucas, et al.
Published: (2021)
Probabilistic Inference and Learning with Stein's Method
by: Liu, Qiang, et al.
Published: (2026)
by: Liu, Qiang, et al.
Published: (2026)
Addressing Class Imbalance with Probabilistic Graphical Models and Variational Inference
by: Lou, Yujia, et al.
Published: (2025)
by: Lou, Yujia, et al.
Published: (2025)
Variance Control for Black Box Variational Inference Using The James-Stein Estimator
by: Dayta, Dominic B.
Published: (2024)
by: Dayta, Dominic B.
Published: (2024)
Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference
by: Li, Jiayun, et al.
Published: (2025)
by: Li, Jiayun, et al.
Published: (2025)
Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian Processes
by: Xu, Jian, et al.
Published: (2023)
by: Xu, Jian, et al.
Published: (2023)
Constrained Stein Variational Trajectory Optimization
by: Power, Thomas, et al.
Published: (2023)
by: Power, Thomas, et al.
Published: (2023)
Stein Variational Newton Neural Network Ensembles
by: Flöge, Klemens, et al.
Published: (2024)
by: Flöge, Klemens, et al.
Published: (2024)
Stein Variational Evolution Strategies
by: Braun, Cornelius V., et al.
Published: (2024)
by: Braun, Cornelius V., et al.
Published: (2024)
Adaptive Kernel Selection for Stein Variational Gradient Descent
by: Melcher, Moritz, et al.
Published: (2025)
by: Melcher, Moritz, et al.
Published: (2025)
Multi-resolution Score-Based Variational Graphical Diffusion for Causal Disaster System Modeling and Inference
by: Li, Xuechun, et al.
Published: (2025)
by: Li, Xuechun, et al.
Published: (2025)
An Inexact Weighted Proximal Trust-Region Method
by: Maia, Leandro Farias, et al.
Published: (2026)
by: Maia, Leandro Farias, et al.
Published: (2026)
Faithful Differentiable Reasoning with Reshuffled Region-based Embeddings
by: Pavlovic, Aleksandar, et al.
Published: (2024)
by: Pavlovic, Aleksandar, et al.
Published: (2024)
Stein Boltzmann Sampling: A Variational Approach for Global Optimization
by: Serré, Gaëtan, et al.
Published: (2024)
by: Serré, Gaëtan, et al.
Published: (2024)
Enhancing Trust-Region Bayesian Optimization via Newton Methods
by: Chen, Quanlin, et al.
Published: (2025)
by: Chen, Quanlin, et al.
Published: (2025)
Inference of Multiscale Gaussian Graphical Model
by: Sanou, Do Edmond, et al.
Published: (2022)
by: Sanou, Do Edmond, et al.
Published: (2022)
Amortized Variational Inference: When and Why?
by: Margossian, Charles C., et al.
Published: (2023)
by: Margossian, Charles C., et al.
Published: (2023)
A Framework for Controllable Multi-objective Learning with Annealed Stein Variational Hypernetworks
by: Nguyen, Minh-Duc, et al.
Published: (2025)
by: Nguyen, Minh-Duc, et al.
Published: (2025)
Stochastic Trust-Region Methods for Over-parameterized Models
by: Yang, Aike, et al.
Published: (2026)
by: Yang, Aike, et al.
Published: (2026)
Trust-Region Methods with Low-Fidelity Objective Models
by: Angino, Andrea, et al.
Published: (2025)
by: Angino, Andrea, et al.
Published: (2025)
Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfolding
by: Kawamura, Yuya, et al.
Published: (2024)
by: Kawamura, Yuya, et al.
Published: (2024)
Regularized Stein Variational Gradient Flow
by: He, Ye, et al.
Published: (2022)
by: He, Ye, et al.
Published: (2022)
Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference
by: Blessing, Denis, et al.
Published: (2025)
by: Blessing, Denis, et al.
Published: (2025)
Embedding Safety into RL: A New Take on Trust Region Methods
by: Milosevic, Nikola, et al.
Published: (2024)
by: Milosevic, Nikola, et al.
Published: (2024)
Adaptive Variational Inference in Probabilistic Graphical Models: Beyond Bethe, Tree-Reweighted, and Convex Free Energies
by: Leisenberger, Harald, et al.
Published: (2025)
by: Leisenberger, Harald, et al.
Published: (2025)
Finite-Particle Rates for Regularized Stein Variational Gradient Descent
by: He, Ye, et al.
Published: (2026)
by: He, Ye, et al.
Published: (2026)
TRSVR: An Adaptive Stochastic Trust-Region Method with Variance Reduction
by: Fang, Yuchen, et al.
Published: (2026)
by: Fang, Yuchen, et al.
Published: (2026)
Constrained Stein Variational Gradient Descent for Robot Perception, Planning, and Identification
by: Tabor, Griffin, et al.
Published: (2025)
by: Tabor, Griffin, et al.
Published: (2025)
A Non-Monotone Preconditioned Trust-Region Method for Neural Network Training
by: Angino, Andrea, et al.
Published: (2026)
by: Angino, Andrea, et al.
Published: (2026)
Condensed Stein Variational Gradient Descent for Uncertainty Quantification of Neural Networks
by: Padmanabha, Govinda Anantha, et al.
Published: (2024)
by: Padmanabha, Govinda Anantha, et al.
Published: (2024)
Variational Inference Using Material Point Method
by: Huang, Yongchao
Published: (2024)
by: Huang, Yongchao
Published: (2024)
Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent
by: Banerjee, Sayan, et al.
Published: (2024)
by: Banerjee, Sayan, et al.
Published: (2024)
Copula-Stein Discrepancy: A Generator-Based Stein Operator for Archimedean Dependence
by: Aich, Agnideep, et al.
Published: (2025)
by: Aich, Agnideep, et al.
Published: (2025)
Fast-PGM: Fast Probabilistic Graphical Model Learning and Inference
by: Jiang, Jiantong, et al.
Published: (2024)
by: Jiang, Jiantong, et al.
Published: (2024)
Trust-Region Twisted Policy Improvement
by: de Vries, Joery A., et al.
Published: (2025)
by: de Vries, Joery A., et al.
Published: (2025)
Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent
by: Della Libera, Luca, et al.
Published: (2024)
by: Della Libera, Luca, et al.
Published: (2024)
A Trust-Region Interior-Point Stochastic Sequential Quadratic Programming Method
by: Fang, Yuchen, et al.
Published: (2026)
by: Fang, Yuchen, et al.
Published: (2026)
Accelerated Stein Variational Gradient Flow
by: Stein, Viktor, et al.
Published: (2025)
by: Stein, Viktor, et al.
Published: (2025)
Trust Region On-Policy Distillation
by: Xing, Xingrun, et al.
Published: (2026)
by: Xing, Xingrun, et al.
Published: (2026)
Similar Items
-
ELBOing Stein: Variational Bayes with Stein Mixture Inference
by: Rønning, Ola, et al.
Published: (2024) -
Dual Online Stein Variational Inference for Control and Dynamics
by: Barcelos, Lucas, et al.
Published: (2021) -
Probabilistic Inference and Learning with Stein's Method
by: Liu, Qiang, et al.
Published: (2026) -
Addressing Class Imbalance with Probabilistic Graphical Models and Variational Inference
by: Lou, Yujia, et al.
Published: (2025) -
Variance Control for Black Box Variational Inference Using The James-Stein Estimator
by: Dayta, Dominic B.
Published: (2024)