Multi-category Angle-based Classifier Refit
Fuente:
arXiv
Saved in:
| Main Authors: | Yau, Guo Xian, Zhang, Chong |
|---|---|
| Format: | Preprint |
| Published: |
2016
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fast and Multiphase Rates for Nearest Neighbor Classifiers
by: Yang, Pengkun, et al.
Published: (2023)
by: Yang, Pengkun, et al.
Published: (2023)
A Notion of Uniqueness for the Adversarial Bayes Classifier
by: Frank, Natalie S.
Published: (2024)
by: Frank, Natalie S.
Published: (2024)
Adversarial Consistency and the Uniqueness of the Adversarial Bayes Classifier
by: Frank, Natalie S.
Published: (2024)
by: Frank, Natalie S.
Published: (2024)
Spectrally-Corrected and Regularized QDA Classifier for Spiked Covariance Model
by: Luo, Wenya, et al.
Published: (2025)
by: Luo, Wenya, et al.
Published: (2025)
Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory
by: Fu, Hengyu, et al.
Published: (2024)
by: Fu, Hengyu, et al.
Published: (2024)
Tight Margin-Based Generalization Bounds for Voting Classifiers over Finite Hypothesis Sets
by: Larsen, Kasper Green, et al.
Published: (2025)
by: Larsen, Kasper Green, et al.
Published: (2025)
Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data
by: Frei, Spencer, et al.
Published: (2022)
by: Frei, Spencer, et al.
Published: (2022)
Multi-Environment GLAMP: Approximate Message Passing for Transfer Learning with Applications to Lasso-based Estimators
by: Wang, Longlin, et al.
Published: (2025)
by: Wang, Longlin, et al.
Published: (2025)
Classifying Causal Structures: Ascertaining when Classical Correlations are Constrained by Inequalities
by: Khanna, Shashaank, et al.
Published: (2023)
by: Khanna, Shashaank, et al.
Published: (2023)
Improved Margin Generalization Bounds for Voting Classifiers
by: Høgsgaard, Mikael Møller, et al.
Published: (2025)
by: Høgsgaard, Mikael Møller, et al.
Published: (2025)
Super-fast Rates of Convergence for Neural Network Classifiers under the Hard Margin Condition
by: Tepakbong, Nathanael, et al.
Published: (2025)
by: Tepakbong, Nathanael, et al.
Published: (2025)
Score-based generative models are provably robust: an uncertainty quantification perspective
by: Mimikos-Stamatopoulos, Nikiforos, et al.
Published: (2024)
by: Mimikos-Stamatopoulos, Nikiforos, et al.
Published: (2024)
Conformal Prediction for Deep Classifier via Label Ranking
by: Huang, Jianguo, et al.
Published: (2023)
by: Huang, Jianguo, et al.
Published: (2023)
Multi-context principal component analysis
by: Wang, Kexin, et al.
Published: (2026)
by: Wang, Kexin, et al.
Published: (2026)
Transfer Learning for Contextual Multi-armed Bandits
by: Cai, Changxiao, et al.
Published: (2022)
by: Cai, Changxiao, et al.
Published: (2022)
Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables
by: Li, Zheng, et al.
Published: (2024)
by: Li, Zheng, et al.
Published: (2024)
Unified Inference Framework for Single and Multi-Player Performative Prediction: Method and Asymptotic Optimality
by: Zhang, Zhixian, et al.
Published: (2026)
by: Zhang, Zhixian, et al.
Published: (2026)
Design Experiments to Compare Multi-armed Bandit Algorithms
by: Meng, Huiling, et al.
Published: (2026)
by: Meng, Huiling, et al.
Published: (2026)
Ratio-based Loss Functions
by: Helgerth, Lena, et al.
Published: (2026)
by: Helgerth, Lena, et al.
Published: (2026)
Multi-Armed Bandits With Machine Learning-Generated Surrogate Rewards
by: Ji, Wenlong, et al.
Published: (2025)
by: Ji, Wenlong, et al.
Published: (2025)
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)
The Role of Pseudo-labels in Self-training Linear Classifiers on High-dimensional Gaussian Mixture Data
by: Takahashi, Takashi
Published: (2022)
by: Takahashi, Takashi
Published: (2022)
Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis
by: Khellaf, Rémi, et al.
Published: (2024)
by: Khellaf, Rémi, et al.
Published: (2024)
Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables
by: Gui, Yu, et al.
Published: (2025)
by: Gui, Yu, et al.
Published: (2025)
Semidefinite programming relaxations and debiasing for MAXCUT-based clustering
by: Zhou, Shuheng
Published: (2024)
by: Zhou, Shuheng
Published: (2024)
An analysis of the noise schedule for score-based generative models
by: Strasman, Stanislas, et al.
Published: (2024)
by: Strasman, Stanislas, et al.
Published: (2024)
Component-based Sketching for Deep ReLU Nets
by: Wang, Di, et al.
Published: (2024)
by: Wang, Di, et al.
Published: (2024)
Exact and Approximate Conformal Inference for Multi-Output Regression
by: Johnstone, Chancellor, et al.
Published: (2022)
by: Johnstone, Chancellor, et al.
Published: (2022)
Generalized Robust Adaptive-Bandwidth Multi-View Manifold Learning in High Dimensions with Noise
by: Ding, Xiucai, et al.
Published: (2026)
by: Ding, Xiucai, et al.
Published: (2026)
Statistical-Computational Trade-offs in Learning Multi-Index Models via Harmonic Analysis
by: Latourelle-Vigeant, Hugo, et al.
Published: (2026)
by: Latourelle-Vigeant, Hugo, et al.
Published: (2026)
Flow-based generative models as iterative algorithms in probability space
by: Xie, Yao, et al.
Published: (2025)
by: Xie, Yao, et al.
Published: (2025)
Kernel-based Optimally Weighted Conformal Time-Series Prediction
by: Lee, Jonghyeok, et al.
Published: (2024)
by: Lee, Jonghyeok, et al.
Published: (2024)
CHANI: Correlation-based Hawkes Aggregation of Neurons with bio-Inspiration
by: Jaffard, Sophie, et al.
Published: (2024)
by: Jaffard, Sophie, et al.
Published: (2024)
Learning Massive-scale Partial Correlation Networks in Clinical Multi-omics Studies with HP-ACCORD
by: Lee, Sungdong, et al.
Published: (2024)
by: Lee, Sungdong, et al.
Published: (2024)
Generalizing while preserving monotonicity in comparison-based preference learning models
by: Fageot, Julien, et al.
Published: (2025)
by: Fageot, Julien, et al.
Published: (2025)
Kernel Debiased Plug-in Estimation based on the Universal Least Favorable Submodel
by: Chen, Haiyi, et al.
Published: (2026)
by: Chen, Haiyi, et al.
Published: (2026)
On Consistency of Signature Using Lasso
by: Guo, Xin, et al.
Published: (2023)
by: Guo, Xin, et al.
Published: (2023)
The $φ$ Curve: The Shape of Generalization through the Lens of Norm-based Capacity Control
by: Wang, Yichen, et al.
Published: (2025)
by: Wang, Yichen, et al.
Published: (2025)
Active Learning for Regression based on Wasserstein distance and GroupSort Neural Networks
by: Bobbia, Benjamin, et al.
Published: (2024)
by: Bobbia, Benjamin, et al.
Published: (2024)
Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery
by: Kovačević, Filip, et al.
Published: (2025)
by: Kovačević, Filip, et al.
Published: (2025)
Similar Items
-
Fast and Multiphase Rates for Nearest Neighbor Classifiers
by: Yang, Pengkun, et al.
Published: (2023) -
A Notion of Uniqueness for the Adversarial Bayes Classifier
by: Frank, Natalie S.
Published: (2024) -
Adversarial Consistency and the Uniqueness of the Adversarial Bayes Classifier
by: Frank, Natalie S.
Published: (2024) -
Spectrally-Corrected and Regularized QDA Classifier for Spiked Covariance Model
by: Luo, Wenya, et al.
Published: (2025) -
Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory
by: Fu, Hengyu, et al.
Published: (2024)