Cover Image

Zero-Order Sharpness-Aware Minimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fu, Yao, Jin, Yihang, Zhang, Chunxia, Liu, Junmin, Dai, Guang, Ye, Haishan
Format:	Preprint
Published:	2025
Subjects:	Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Training Diagonal Linear Networks with Stochastic Sharpness-Aware Minimization
by: Clara, Gabriel, et al.
Published: (2025)

Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization
by: Tan, Chengli, et al.
Published: (2025)

Sharp One-Dimensional Sub-Gaussian Comparison in Convex Order
by: Zhang, Yihan
Published: (2026)

Simplicity Bias via Global Convergence of Sharpness Minimization
by: Gatmiry, Khashayar, et al.
Published: (2024)

A Sharp KL-Convergence Analysis for Diffusion Models under Minimal Assumptions
by: Jain, Nishant, et al.
Published: (2025)

Sharp Bounds for Multiple Models in Matrix Completion
by: Liu, Dali, et al.
Published: (2024)

Rethinking Hard Thresholding Pursuit: Full Adaptation and Sharp Estimation
by: Zhang, Yanhang, et al.
Published: (2025)

Minimal Models of Entropic Order
by: Huang, Xiaoyang, et al.
Published: (2025)

Sharp adaptive nonparametric testing for constant volatility
by: Brutsche, Johannes, et al.
Published: (2026)

Bayesian Inference of Minimally Complex Models with Interactions of Arbitrary Order
by: de Mulatier, Clélia, et al.
Published: (2020)

Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory
by: Fu, Hengyu, et al.
Published: (2024)

Sharp Information-Theoretic Thresholds for Shuffled Linear Regression
by: Lufkin, Leon, et al.
Published: (2024)

Sharp phase transitions in high-dimensional changepoint detection
by: Xiang, Daniel, et al.
Published: (2024)

Sharp Concentration of Simple Random Tensors
by: Al-Ghattas, Omar, et al.
Published: (2025)

Individual Treatment Effect: Prediction Intervals and Sharp Bounds
by: Zhang, Zhehao, et al.
Published: (2025)

Sharp Empirical Bernstein Bounds for the Variance of Bounded Random Variables
by: Martinez-Taboada, Diego, et al.
Published: (2025)

Sharp recovery and landscape guarantees for the nonconvex matrix LASSO
by: McRae, Andrew D., et al.
Published: (2026)

Sharp bounds for products of dependent random variables
by: Blier-Wong, Christopher, et al.
Published: (2026)

Sharp oracle inequalities and universality of the AIC and FPE
by: Jirak, Moritz, et al.
Published: (2024)

Estimation of Out-of-Sample Sharpe Ratio for High Dimensional Portfolio Optimization
by: Meng, Xuran, et al.
Published: (2024)

Sharp mean-field analysis of permutation mixtures and permutation-invariant decisions
by: Liang, Yiguo, et al.
Published: (2025)

Sharp variance estimator and causal bootstrap in stratified randomized experiments
by: Yu, Haoyang, et al.
Published: (2024)

Sharp Structure-Agnostic Lower Bounds for General Linear Functional Estimation
by: Jin, Jikai, et al.
Published: (2025)

Sharp Asymptotic Minimaxity for Multiple Testing Using One-Group Shrinkage Priors
by: Paul, Sayantan, et al.
Published: (2025)

Sharp convergence rates for Spectral methods via the feature space decomposition method
by: Lecué, Guillaume, et al.
Published: (2025)

Sharp Concentration of Simple Random Tensors II: Asymmetry
by: Chen, Jiaheng, et al.
Published: (2025)

Sharp Debiasing for Smooth Functional Estimation in Banach Spaces
by: Chang, Woonyoung, et al.
Published: (2026)

Sequential Multiple Testing: A Second-Order Asymptotic Analysis
by: Liu, Jingyu, et al.
Published: (2026)

Adaptive Kernel Ridge Regression with Linear Structure: Sharp Oracle Inequalities and Minimax Optimality
by: Bing, Xin, et al.
Published: (2026)

On the Concentration of the Minimizers of Empirical Risks
by: Escande, Paul
Published: (2023)

Sharp Convergence Rates for Empirical Optimal Transport with Smooth Costs
by: Manole, Tudor, et al.
Published: (2021)

Sharp Bounds on the Variance of General Regression Adjustment in Randomized Experiments
by: Mikhaeil, Jonas M., et al.
Published: (2024)

Sharp minimax risks and phase transitions in sparse submatrix detection
by: Goswami, Subhajit, et al.
Published: (2026)

Crossing the Kolmogorov-Smirnov Boundary: Exact Tails, Sharp Bounds, and Broken Pivots
by: Cui, Elvis Han, et al.
Published: (2025)

High Order Expansion Method for Kuiper's $V_n$ Statistic in Goodness-of-fit Test
by: Zhang, Hong-Yan, et al.
Published: (2023)

Quantitative analysis of non-exchangeability in bivariate copulas: Sharp bounds, statistical tests and mixing constructions
by: Úbeda-Flores, Manuel
Published: (2026)

Sharp Gaussian approximations for Decentralized Federated Learning
by: Bonnerjee, Soham, et al.
Published: (2025)

Minimizers of U-processes and their domains of attraction
by: Ferger, Dietmar
Published: (2025)

Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization
by: Hu, Shouri, et al.
Published: (2022)

On the number of modes of Gaussian kernel density estimators
by: Geshkovski, Borjan, et al.
Published: (2024)