On Reductions and Representations of Learning Problems in Euclidean Spaces
Fuente:
arXiv
Saved in:
| Main Authors: | Chornomaz, Bogdan, Moran, Shay, Waknine, Tom |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Agnostic Learning under Targeted Poisoning: Optimal Rates and the Role of Randomness
by: Chornomaz, Bogdan, et al.
Published: (2025)
by: Chornomaz, Bogdan, et al.
Published: (2025)
Margin in Abstract Spaces
by: Ashlagi, Yair, et al.
Published: (2026)
by: Ashlagi, Yair, et al.
Published: (2026)
The Role of Randomness in Stability
by: Hopkins, Max, et al.
Published: (2025)
by: Hopkins, Max, et al.
Published: (2025)
Spherical dimension
by: Chornomaz, Bogdan, et al.
Published: (2025)
by: Chornomaz, Bogdan, et al.
Published: (2025)
Teaching and Learning under Deductive Errors
by: Telle, Jan Arne, et al.
Published: (2026)
by: Telle, Jan Arne, et al.
Published: (2026)
Realizable Learning is All You Need
by: Hopkins, Max, et al.
Published: (2021)
by: Hopkins, Max, et al.
Published: (2021)
Do PAC-Learners Learn the Marginal Distribution?
by: Hopkins, Max, et al.
Published: (2023)
by: Hopkins, Max, et al.
Published: (2023)
Bounds on the Generalization Error in Active Learning
by: Menden, Vincent, et al.
Published: (2024)
by: Menden, Vincent, et al.
Published: (2024)
Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration
by: Gopalan, Parikshit, et al.
Published: (2023)
by: Gopalan, Parikshit, et al.
Published: (2023)
Parity Requires Unified Input Dependence and Negative Eigenvalues in SSMs
by: Khavari, Behnoush, et al.
Published: (2025)
by: Khavari, Behnoush, et al.
Published: (2025)
The Price of Robustness: Stable Classifiers Need Overparameterization
by: von Berg, Jonas, et al.
Published: (2026)
by: von Berg, Jonas, et al.
Published: (2026)
Autoencoded UMAP-Enhanced Clustering for Unsupervised Learning
by: Chavooshi, Malihehsadat, et al.
Published: (2025)
by: Chavooshi, Malihehsadat, et al.
Published: (2025)
Neural Network Approximation: A View from Polytope Decomposition
by: Li, ZeYu, et al.
Published: (2026)
by: Li, ZeYu, et al.
Published: (2026)
Grouped Sequential Optimization Strategy -- the Application of Hyperparameter Importance Assessment in Deep Learning
by: Wang, Ruinan, et al.
Published: (2025)
by: Wang, Ruinan, et al.
Published: (2025)
High-arity Sample Compression
by: Coregliano, Leonardo N., et al.
Published: (2026)
by: Coregliano, Leonardo N., et al.
Published: (2026)
A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization
by: Ustaomeroglu, Muhammed, et al.
Published: (2025)
by: Ustaomeroglu, Muhammed, et al.
Published: (2025)
Aligning Inductive Bias for Data-Efficient Generalization in State Space Models
by: Chen, Qiyu, et al.
Published: (2025)
by: Chen, Qiyu, et al.
Published: (2025)
Ambiguous Online Learning
by: Kosoy, Vanessa
Published: (2025)
by: Kosoy, Vanessa
Published: (2025)
Tighter Learning Guarantees on Digital Computers via Concentration of Measure on Finite Spaces
by: Kratsios, Anastasis, et al.
Published: (2024)
by: Kratsios, Anastasis, et al.
Published: (2024)
Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study
by: Keraghel, Imed, et al.
Published: (2024)
by: Keraghel, Imed, et al.
Published: (2024)
Asymptotic Optimism of Random-Design Linear and Kernel Regression Models
by: Luo, Hengrui, et al.
Published: (2025)
by: Luo, Hengrui, et al.
Published: (2025)
Adaptive learning of density ratios in RKHS
by: Zellinger, Werner, et al.
Published: (2023)
by: Zellinger, Werner, et al.
Published: (2023)
Adaptive Discretization in Online Reinforcement Learning
by: Sinclair, Sean R., et al.
Published: (2021)
by: Sinclair, Sean R., et al.
Published: (2021)
Approximation and generalization properties of the random projection classification method
by: Boutin, Mireille, et al.
Published: (2021)
by: Boutin, Mireille, et al.
Published: (2021)
From Score Matching to Diffusion: A Fine-Grained Error Analysis in the Gaussian Setting
by: Hurault, Samuel, et al.
Published: (2025)
by: Hurault, Samuel, et al.
Published: (2025)
Make Optimization Once and for All with Fine-grained Guidance
by: Shi, Mingjia, et al.
Published: (2025)
by: Shi, Mingjia, et al.
Published: (2025)
Domain Generalization by Functional Regression
by: Holzleitner, Markus, et al.
Published: (2023)
by: Holzleitner, Markus, et al.
Published: (2023)
Learning Decentralized Swarms Using Rotation Equivariant Graph Neural Networks
by: Transue, Taos, et al.
Published: (2025)
by: Transue, Taos, et al.
Published: (2025)
Random feature-based double Vovk-Azoury-Warmuth algorithm for online multi-kernel learning
by: Rokhlin, Dmitry B., et al.
Published: (2025)
by: Rokhlin, Dmitry B., et al.
Published: (2025)
A hierarchical Vovk-Azoury-Warmuth forecaster with discounting for online regression in RKHS
by: Rokhlin, Dmitry B.
Published: (2025)
by: Rokhlin, Dmitry B.
Published: (2025)
Reduced Jeffries-Matusita distance: A Novel Loss Function to Improve Generalization Performance of Deep Classification Models
by: Lashkari, Mohammad, et al.
Published: (2024)
by: Lashkari, Mohammad, et al.
Published: (2024)
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks
by: Xu, Zhi-Qin John, et al.
Published: (2019)
by: Xu, Zhi-Qin John, et al.
Published: (2019)
Spectral Algorithms under Covariate Shift
by: Fan, Jun, et al.
Published: (2025)
by: Fan, Jun, et al.
Published: (2025)
Truncated Kernel Stochastic Gradient Descent with General Losses and Spherical Radial Basis Functions
by: Bai, Jinhui, et al.
Published: (2025)
by: Bai, Jinhui, et al.
Published: (2025)
Backpropagation Through Time For Networks With Long-Term Dependencies
by: Bird, George, et al.
Published: (2021)
by: Bird, George, et al.
Published: (2021)
Recursively Enumerably Representable Classes and Computable Versions of the Fundamental Theorem of Statistical Learning
by: Kattermann, David, et al.
Published: (2025)
by: Kattermann, David, et al.
Published: (2025)
Regret Bounds for Robust Online Decision Making
by: Appel, Alexander, et al.
Published: (2025)
by: Appel, Alexander, et al.
Published: (2025)
Two-Time-Scale Learning Dynamics: A Population View of Neural Network Training
by: Borghi, Giacomo, et al.
Published: (2026)
by: Borghi, Giacomo, et al.
Published: (2026)
Analysis of Regularized Learning in Banach Spaces for Linear-functional Data
by: Ye, Qi
Published: (2021)
by: Ye, Qi
Published: (2021)
A Function-Space Stability Boundary for Generalization in Interpolating Learning Systems
by: Katende, Ronald
Published: (2026)
by: Katende, Ronald
Published: (2026)
Similar Items
-
Agnostic Learning under Targeted Poisoning: Optimal Rates and the Role of Randomness
by: Chornomaz, Bogdan, et al.
Published: (2025) -
Margin in Abstract Spaces
by: Ashlagi, Yair, et al.
Published: (2026) -
The Role of Randomness in Stability
by: Hopkins, Max, et al.
Published: (2025) -
Spherical dimension
by: Chornomaz, Bogdan, et al.
Published: (2025) -
Teaching and Learning under Deductive Errors
by: Telle, Jan Arne, et al.
Published: (2026)