Do we really need the Rademacher complexities?
Fuente:
arXiv
Saved in:
| Main Authors: | Bartl, Daniel, Mendelson, Shahar |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Uniform mean estimation via generic chaining
by: Bartl, Daniel, et al.
Published: (2025)
by: Bartl, Daniel, et al.
Published: (2025)
Structure preservation via the Wasserstein distance
by: Bartl, Daniel, et al.
Published: (2022)
by: Bartl, Daniel, et al.
Published: (2022)
On the structure of marginals in high dimensions
by: Bartl, Daniel, et al.
Published: (2026)
by: Bartl, Daniel, et al.
Published: (2026)
Fitting an ellipsoid to a quadratic number of random points
by: Bandeira, Afonso S., et al.
Published: (2023)
by: Bandeira, Afonso S., et al.
Published: (2023)
A Gapped Scale-Sensitive Dimension and Lower Bounds for Offset Rademacher Complexity
by: Jia, Zeyu, et al.
Published: (2025)
by: Jia, Zeyu, et al.
Published: (2025)
Covariance estimation with direction dependence accuracy
by: Abdalla, Pedro, et al.
Published: (2024)
by: Abdalla, Pedro, et al.
Published: (2024)
Lean Formalization of Generalization Error Bound by Rademacher Complexity and Dudley's Entropy Integral
by: Sonoda, Sho, et al.
Published: (2025)
by: Sonoda, Sho, et al.
Published: (2025)
Can we spot a fake?
by: Mendelson, Shahar, et al.
Published: (2024)
by: Mendelson, Shahar, et al.
Published: (2024)
Batches Stabilize the Minimum Norm Risk in High Dimensional Overparameterized Linear Regression
by: Ioushua, Shahar Stein, et al.
Published: (2023)
by: Ioushua, Shahar Stein, et al.
Published: (2023)
On the sample complexity of parameter estimation in logistic regression with normal design
by: Hsu, Daniel, et al.
Published: (2023)
by: Hsu, Daniel, et al.
Published: (2023)
How many samples are needed to train a deep neural network?
by: Golestaneh, Pegah, et al.
Published: (2024)
by: Golestaneh, Pegah, et al.
Published: (2024)
Sample complexity of Schrödinger potential estimation
by: Puchkin, Nikita, et al.
Published: (2025)
by: Puchkin, Nikita, et al.
Published: (2025)
Do we need to estimate the variance in robust mean estimation?
by: Sun, Qiang
Published: (2021)
by: Sun, Qiang
Published: (2021)
Scalable multitask Gaussian processes for complex mechanical systems with functional covariates
by: Gninkou, Razak Christophe Sabi, et al.
Published: (2026)
by: Gninkou, Razak Christophe Sabi, et al.
Published: (2026)
Do More Predictions Improve Statistical Inference? Filtered Prediction-Powered Inference
by: Xu, Shirong, et al.
Published: (2026)
by: Xu, Shirong, et al.
Published: (2026)
Choosing the Better Bandit Algorithm under Data Sharing: When Do A/B Experiments Work?
by: Li, Shuangning, et al.
Published: (2025)
by: Li, Shuangning, et al.
Published: (2025)
A uniform Dvoretzky-Kiefer-Wolfowitz inequality
by: Bartl, Daniel, et al.
Published: (2023)
by: Bartl, Daniel, et al.
Published: (2023)
Empirical approximation of the gaussian distribution in $\mathbb{R}^d$
by: Bartl, Daniel, et al.
Published: (2023)
by: Bartl, Daniel, et al.
Published: (2023)
Susceptibilities and Patterning: A Primer on Linear Response in Bayesian Learning
by: Elliott, Chris, et al.
Published: (2026)
by: Elliott, Chris, et al.
Published: (2026)
Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity
by: Legramanti, Sirio, et al.
Published: (2022)
by: Legramanti, Sirio, et al.
Published: (2022)
Dimension lower bounds for linear approaches to function approximation
by: Hsu, Daniel
Published: (2025)
by: Hsu, Daniel
Published: (2025)
Sampling from multi-modal distributions with polynomial query complexity in fixed dimension via reverse diffusion
by: Vacher, Adrien, et al.
Published: (2024)
by: Vacher, Adrien, et al.
Published: (2024)
Linear Response Estimators for Singular Statistical Models
by: Elliott, Chris, et al.
Published: (2026)
by: Elliott, Chris, et al.
Published: (2026)
Asymptotically free sketched ridge ensembles: Risks, cross-validation, and tuning
by: Patil, Pratik, et al.
Published: (2023)
by: Patil, Pratik, et al.
Published: (2023)
An invitation to the sample complexity of quantum hypothesis testing
by: Cheng, Hao-Chung, et al.
Published: (2024)
by: Cheng, Hao-Chung, et al.
Published: (2024)
Hierarchy of discriminative power and complexity in learning quantum ensembles
by: Yao, Jian, et al.
Published: (2026)
by: Yao, Jian, et al.
Published: (2026)
Fast Wasserstein rates for estimating probability distributions of probabilistic graphical models
by: Bartl, Daniel, et al.
Published: (2025)
by: Bartl, Daniel, et al.
Published: (2025)
Beyond Benign Overfitting in Nadaraya-Watson Interpolators
by: Barzilai, Daniel, et al.
Published: (2025)
by: Barzilai, Daniel, et al.
Published: (2025)
Statistical-Computational Trade-offs in Tensor PCA and Related Problems via Communication Complexity
by: Dudeja, Rishabh, et al.
Published: (2022)
by: Dudeja, Rishabh, et al.
Published: (2022)
High-probability sample complexities for policy evaluation with linear function approximation
by: Li, Gen, et al.
Published: (2023)
by: Li, Gen, et al.
Published: (2023)
Resilience of Rademacher chaos of low degree
by: Aigner-Horev, Elad, et al.
Published: (2024)
by: Aigner-Horev, Elad, et al.
Published: (2024)
Estimating the Spectral Moments of the Kernel Integral Operator from Finite Sample Matrices
by: Chun, Chanwoo, et al.
Published: (2024)
by: Chun, Chanwoo, et al.
Published: (2024)
Simple Relative Deviation Bounds for Covariance and Gram Matrices
by: Barzilai, Daniel, et al.
Published: (2024)
by: Barzilai, Daniel, et al.
Published: (2024)
Bayesian Multiplicity Correction in the Probabilistic Forward Stepwise Framework
by: Womack, Andrew, et al.
Published: (2026)
by: Womack, Andrew, et al.
Published: (2026)
Information-Geometric Decomposition of Generalization Error in Unsupervised Learning
by: Kim, Gilhan
Published: (2026)
by: Kim, Gilhan
Published: (2026)
A Simplified and Numerically Stable Approach to the BG/NBD Churn Prediction model
by: Zammit, Dylan, et al.
Published: (2025)
by: Zammit, Dylan, et al.
Published: (2025)
Statistics of Min-max Normalized Eigenvalues in Random Matrices
by: Nakada, Hyakka, et al.
Published: (2025)
by: Nakada, Hyakka, et al.
Published: (2025)
Laws of thermodynamics for exponential families
by: Balsubramani, Akshay
Published: (2025)
by: Balsubramani, Akshay
Published: (2025)
Review and Prospect of Algebraic Research in Equivalent Framework between Statistical Mechanics and Machine Learning Theory
by: Watanabe, Sumio
Published: (2024)
by: Watanabe, Sumio
Published: (2024)
Efficient Unbiased Sparsification
by: Barnes, Leighton, et al.
Published: (2024)
by: Barnes, Leighton, et al.
Published: (2024)
Similar Items
-
Uniform mean estimation via generic chaining
by: Bartl, Daniel, et al.
Published: (2025) -
Structure preservation via the Wasserstein distance
by: Bartl, Daniel, et al.
Published: (2022) -
On the structure of marginals in high dimensions
by: Bartl, Daniel, et al.
Published: (2026) -
Fitting an ellipsoid to a quadratic number of random points
by: Bandeira, Afonso S., et al.
Published: (2023) -
A Gapped Scale-Sensitive Dimension and Lower Bounds for Offset Rademacher Complexity
by: Jia, Zeyu, et al.
Published: (2025)