Convergence Dynamics of Over-Parameterized Score Matching for a Single Gaussian
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Yiran, Xu, Weihang, Zhou, Mo, Fazel, Maryam, Du, Simon Shaolei |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixtures
by: Zhou, Mo, et al.
Published: (2025)
by: Zhou, Mo, et al.
Published: (2025)
Toward Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixture Models
by: Xu, Weihang, et al.
Published: (2024)
by: Xu, Weihang, et al.
Published: (2024)
Global Convergence of Four-Layer Matrix Factorization under Random Initialization
by: Luo, Minrui, et al.
Published: (2025)
by: Luo, Minrui, et al.
Published: (2025)
Offline Multi-task Transfer RL with Representational Penalization
by: Bose, Avinandan, et al.
Published: (2024)
by: Bose, Avinandan, et al.
Published: (2024)
Hybrid Preference Optimization for Alignment: Provably Faster Convergence Rates by Combining Offline Preferences with Online Exploration
by: Bose, Avinandan, et al.
Published: (2024)
by: Bose, Avinandan, et al.
Published: (2024)
Extragradient Preference Optimization (EGPO): Beyond Last-Iterate Convergence for Nash Learning from Human Feedback
by: Zhou, Runlong, et al.
Published: (2025)
by: Zhou, Runlong, et al.
Published: (2025)
Unregularized Linear Convergence in Zero-Sum Game from Preference Feedback
by: Chen, Shulun, et al.
Published: (2025)
by: Chen, Shulun, et al.
Published: (2025)
LoRe: Personalizing LLMs via Low-Rank Reward Modeling
by: Bose, Avinandan, et al.
Published: (2025)
by: Bose, Avinandan, et al.
Published: (2025)
Sharp Gap-Dependent Variance-Aware Regret Bounds for Tabular MDPs
by: Chen, Shulun, et al.
Published: (2025)
by: Chen, Shulun, et al.
Published: (2025)
Local linear convergence of gradient methods for overparameterized Gaussian mixtures
by: Wang, Jingxing, et al.
Published: (2026)
by: Wang, Jingxing, et al.
Published: (2026)
Learning Optimal Tax Design in Nonatomic Congestion Games
by: Cui, Qiwen, et al.
Published: (2024)
by: Cui, Qiwen, et al.
Published: (2024)
Faster Convergence of Local SGD for Over-Parameterized Models
by: Qin, Tiancheng, et al.
Published: (2022)
by: Qin, Tiancheng, et al.
Published: (2022)
Understanding the Performance Gap in Preference Learning: A Dichotomy of RLHF and DPO
by: Shi, Ruizhe, et al.
Published: (2025)
by: Shi, Ruizhe, et al.
Published: (2025)
On the Convergence Analysis of Over-Parameterized Variational Autoencoders: A Neural Tangent Kernel Perspective
by: Wang, Li, et al.
Published: (2024)
by: Wang, Li, et al.
Published: (2024)
Variance Alignment Score: A Simple But Tough-to-Beat Data Selection Method for Multimodal Contrastive Learning
by: Wang, Yiping, et al.
Published: (2024)
by: Wang, Yiping, et al.
Published: (2024)
Dual Approximation Policy Optimization
by: Xiong, Zhihan, et al.
Published: (2024)
by: Xiong, Zhihan, et al.
Published: (2024)
Cold-Start Personalization via Training-Free Priors from Structured World Models
by: Bose, Avinandan, et al.
Published: (2026)
by: Bose, Avinandan, et al.
Published: (2026)
Offline congestion games: How feedback type affects data coverage requirement
by: Jiang, Haozhe, et al.
Published: (2022)
by: Jiang, Haozhe, et al.
Published: (2022)
Policy-Based Trajectory Clustering in Offline Reinforcement Learning
by: Hu, Hao, et al.
Published: (2025)
by: Hu, Hao, et al.
Published: (2025)
A Connection Between Score Matching and Local Intrinsic Dimension
by: Yeats, Eric, et al.
Published: (2025)
by: Yeats, Eric, et al.
Published: (2025)
Transformers are Efficient Compilers, Provably
by: Zhai, Xiyu, et al.
Published: (2024)
by: Zhai, Xiyu, et al.
Published: (2024)
Dynamics of Learning under User Choice: Overspecialization and Peer-Model Probing
by: Narang, Adhyyan, et al.
Published: (2026)
by: Narang, Adhyyan, et al.
Published: (2026)
Score Matching for Estimating Finite Point Processes
by: Cao, Haoqun, et al.
Published: (2025)
by: Cao, Haoqun, et al.
Published: (2025)
Finite Sample Identification of Partially Observed Bilinear Dynamical Systems
by: Sattar, Yahya, et al.
Published: (2025)
by: Sattar, Yahya, et al.
Published: (2025)
A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning
by: Jiang, Haozhe, et al.
Published: (2023)
by: Jiang, Haozhe, et al.
Published: (2023)
Gaussian Process Tilted Nonparametric Density Estimation using Fisher Divergence Score Matching
by: Paisley, John, et al.
Published: (2025)
by: Paisley, John, et al.
Published: (2025)
On The Complexity of Best-Arm Identification in Non-Stationary Linear Bandits
by: Maynard-Zhang, Leo, et al.
Published: (2026)
by: Maynard-Zhang, Leo, et al.
Published: (2026)
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization
by: Zhang, Gavin, et al.
Published: (2025)
by: Zhang, Gavin, et al.
Published: (2025)
Improving Adaptivity via Over-Parameterization in Sequence Models
by: Li, Yicheng, et al.
Published: (2024)
by: Li, Yicheng, et al.
Published: (2024)
Mild Over-Parameterization Benefits Asymmetric Tensor PCA
by: Ding, Shihong, et al.
Published: (2026)
by: Ding, Shihong, et al.
Published: (2026)
Hamiltonian Score Matching and Generative Flows
by: Holderrieth, Peter, et al.
Published: (2024)
by: Holderrieth, Peter, et al.
Published: (2024)
Strategic Over-Parameterization for Generalizable Low-Rank Adaptation
by: Gao, Jing, et al.
Published: (2026)
by: Gao, Jing, et al.
Published: (2026)
Convergence Analysis of Natural Gradient Descent for Over-parameterized Physics-Informed Neural Networks
by: Xu, Xianliang, et al.
Published: (2024)
by: Xu, Xianliang, et al.
Published: (2024)
Joint Velocity-Growth Flow Matching for Single-Cell Dynamics Modeling
by: Wang, Dongyi, et al.
Published: (2025)
by: Wang, Dongyi, et al.
Published: (2025)
Explore-then-Commit for Nonstationary Linear Bandits with Latent Dynamics
by: Choi, Sunmook, et al.
Published: (2025)
by: Choi, Sunmook, et al.
Published: (2025)
Knoop: Practical Enhancement of Knockoff with Over-Parameterization for Variable Selection
by: Zhang, Xiaochen, et al.
Published: (2025)
by: Zhang, Xiaochen, et al.
Published: (2025)
Highlighting What Matters: Promptable Embeddings for Attribute-Focused Image Retrieval
by: Li, Siting, et al.
Published: (2025)
by: Li, Siting, et al.
Published: (2025)
MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes
by: Yang, Ruikai, et al.
Published: (2024)
by: Yang, Ruikai, et al.
Published: (2024)
Keeping up with dynamic attackers: Certifying robustness to adaptive online data poisoning
by: Bose, Avinandan, et al.
Published: (2025)
by: Bose, Avinandan, et al.
Published: (2025)
Is Score Matching Suitable for Estimating Point Processes?
by: Cao, Haoqun, et al.
Published: (2024)
by: Cao, Haoqun, et al.
Published: (2024)
Similar Items
-
Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixtures
by: Zhou, Mo, et al.
Published: (2025) -
Toward Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixture Models
by: Xu, Weihang, et al.
Published: (2024) -
Global Convergence of Four-Layer Matrix Factorization under Random Initialization
by: Luo, Minrui, et al.
Published: (2025) -
Offline Multi-task Transfer RL with Representational Penalization
by: Bose, Avinandan, et al.
Published: (2024) -
Hybrid Preference Optimization for Alignment: Provably Faster Convergence Rates by Combining Offline Preferences with Online Exploration
by: Bose, Avinandan, et al.
Published: (2024)