Minimax Limits of k-Fold Cross-Validation via Majority
Fuente:
arXiv
Saved in:
| Main Authors: | Nachum, Ido, Urbanke, Rüdiger, Weinberger, Thomas |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Structure of Cross-Validation Error: Stability, Covariance, and Minimax Limits
by: Nachum, Ido, et al.
Published: (2025)
by: Nachum, Ido, et al.
Published: (2025)
Minimax Optimal Algorithms with Fixed-$k$-Nearest Neighbors
by: Ryu, J. Jon, et al.
Published: (2022)
by: Ryu, J. Jon, et al.
Published: (2022)
High-Probability Minimax Adaptive Estimation in Besov Spaces via Online-to-Batch
by: Liautaud, Paul, et al.
Published: (2026)
by: Liautaud, Paul, et al.
Published: (2026)
Minimax Statistical Estimation under Wasserstein Contamination
by: Chao, Patrick, et al.
Published: (2023)
by: Chao, Patrick, et al.
Published: (2023)
Minimax Linear Regression under the Quantile Risk
by: Hanchi, Ayoub El, et al.
Published: (2024)
by: Hanchi, Ayoub El, et al.
Published: (2024)
Improving Minimax Estimation Rates for Contaminated Mixture of Multinomial Logistic Experts via Expert Heterogeneity
by: Yan, Fanqi, et al.
Published: (2026)
by: Yan, Fanqi, et al.
Published: (2026)
Minimax-optimal and Locally-adaptive Online Nonparametric Regression
by: Liautaud, Paul, et al.
Published: (2024)
by: Liautaud, Paul, et al.
Published: (2024)
Minimax and Adaptive Covariance Matrix Estimation under Differential Privacy
by: Cai, T. Tony, et al.
Published: (2026)
by: Cai, T. Tony, et al.
Published: (2026)
Minimax Adaptive Online Nonparametric Regression over Besov Spaces
by: Liautaud, Paul, et al.
Published: (2025)
by: Liautaud, Paul, et al.
Published: (2025)
Minimax rates of convergence for nonparametric regression under adversarial attacks
by: Peng, Jingfu, et al.
Published: (2024)
by: Peng, Jingfu, et al.
Published: (2024)
Offline Estimation of Controlled Markov Chains: Minimaxity and Sample Complexity
by: Banerjee, Imon, et al.
Published: (2022)
by: Banerjee, Imon, et al.
Published: (2022)
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification
by: Frank, Natalie S., et al.
Published: (2022)
by: Frank, Natalie S., et al.
Published: (2022)
Minimax optimal transfer learning for high-dimensional additive regression
by: Moon, Seung Hyun
Published: (2025)
by: Moon, Seung Hyun
Published: (2025)
Minimax Semiparametric Learning With Approximate Sparsity
by: Bradic, Jelena, et al.
Published: (2019)
by: Bradic, Jelena, et al.
Published: (2019)
Online Covariance Estimation in Averaged SGD: Improved Batch-Mean Rates and Minimax Optimality via Trajectory Regression
by: Ni, Yijin, et al.
Published: (2026)
by: Ni, Yijin, et al.
Published: (2026)
Bootstrapping the Cross-Validation Estimate
by: Cai, Bryan, et al.
Published: (2023)
by: Cai, Bryan, et al.
Published: (2023)
On Instability of Minimax Optimal Optimism-Based Bandit Algorithms
by: Praharaj, Samya, et al.
Published: (2025)
by: Praharaj, Samya, et al.
Published: (2025)
Minimax Hypothesis Testing for the Bradley-Terry-Luce Model
by: Makur, Anuran, et al.
Published: (2024)
by: Makur, Anuran, et al.
Published: (2024)
Minimax Optimality of the Probability Flow ODE for Diffusion Models
by: Cai, Changxiao, et al.
Published: (2025)
by: Cai, Changxiao, et al.
Published: (2025)
Minimax Rate-Optimal Algorithms for High-Dimensional Stochastic Linear Bandits
by: Liu, Jingyu, et al.
Published: (2025)
by: Liu, Jingyu, et al.
Published: (2025)
Minimax Signal Detection in Sparse Additive Models
by: Kotekal, Subhodh, et al.
Published: (2023)
by: Kotekal, Subhodh, et al.
Published: (2023)
Minimax Regret Learning for Data with Heterogeneous Subgroups
by: Mo, Weibin, et al.
Published: (2024)
by: Mo, Weibin, et al.
Published: (2024)
Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent
by: Patil, Pratik, et al.
Published: (2024)
by: Patil, Pratik, et al.
Published: (2024)
Which Algorithms Have Tight Generalization Bounds?
by: Gastpar, Michael, et al.
Published: (2024)
by: Gastpar, Michael, et al.
Published: (2024)
Minimax optimal differentially private synthetic data for smooth queries
by: Ding, Rundong, et al.
Published: (2026)
by: Ding, Rundong, et al.
Published: (2026)
Minimax optimal submatrix detection: Sharp non-asymptotic rates
by: Knight, Parker, et al.
Published: (2026)
by: Knight, Parker, et al.
Published: (2026)
Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate
by: Genans, Ferdinand, et al.
Published: (2025)
by: Genans, Ferdinand, et al.
Published: (2025)
ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant Data
by: Luo, Kevin, et al.
Published: (2024)
by: Luo, Kevin, et al.
Published: (2024)
Minimax-Optimal Two-Sample Test with Sliced Wasserstein
by: Tran, Binh Thuan, et al.
Published: (2025)
by: Tran, Binh Thuan, et al.
Published: (2025)
Minimax-optimal trust-aware multi-armed bandits
by: Cai, Changxiao, et al.
Published: (2024)
by: Cai, Changxiao, et al.
Published: (2024)
The Empirical Mean is Minimax Optimal for Local Glivenko-Cantelli
by: Cohen, Doron, et al.
Published: (2024)
by: Cohen, Doron, et al.
Published: (2024)
Optimal Recovery Meets Minimax Estimation
by: DeVore, Ronald, et al.
Published: (2025)
by: DeVore, Ronald, et al.
Published: (2025)
Extended Wasserstein-GAN Approach to Causal Distribution Learning: Density-Free Estimation and Minimax Optimality
by: Tamano, Shu, et al.
Published: (2026)
by: Tamano, Shu, et al.
Published: (2026)
Adversarial learning for nonparametric regression: Minimax rate and adaptive estimation
by: Peng, Jingfu, et al.
Published: (2025)
by: Peng, Jingfu, et al.
Published: (2025)
Minimax Rates for Learning Pairwise Interactions in Attention-Style Models
by: Zucker, Shai, et al.
Published: (2025)
by: Zucker, Shai, et al.
Published: (2025)
Learning from Biased and Costly Data Sources: Minimax-optimal Data Collection under a Budget
by: Harding, Michael O., et al.
Published: (2026)
by: Harding, Michael O., et al.
Published: (2026)
Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions
by: Zhang, Kaihong, et al.
Published: (2024)
by: Zhang, Kaihong, et al.
Published: (2024)
Minimax and Bayes Optimal Best-Arm Identification
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Minimax-Optimal Spectral Clustering with Covariance Projection for High-Dimensional Anisotropic Mixtures
by: Huang, Chengzhu, et al.
Published: (2025)
by: Huang, Chengzhu, et al.
Published: (2025)
Towards Sharp Minimax Risk Bounds for Operator Learning
by: Adcock, Ben, et al.
Published: (2025)
by: Adcock, Ben, et al.
Published: (2025)
Similar Items
-
The Structure of Cross-Validation Error: Stability, Covariance, and Minimax Limits
by: Nachum, Ido, et al.
Published: (2025) -
Minimax Optimal Algorithms with Fixed-$k$-Nearest Neighbors
by: Ryu, J. Jon, et al.
Published: (2022) -
High-Probability Minimax Adaptive Estimation in Besov Spaces via Online-to-Batch
by: Liautaud, Paul, et al.
Published: (2026) -
Minimax Statistical Estimation under Wasserstein Contamination
by: Chao, Patrick, et al.
Published: (2023) -
Minimax Linear Regression under the Quantile Risk
by: Hanchi, Ayoub El, et al.
Published: (2024)