Approximating the Number of Relevant Variables in a Parity Implies Proper Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Bshouty, Nader H., Haddad, George |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Classes Testable with $O(1/ε)$ Queries for Small $ε$ Independent of the Number of Variables
by: Bshouty, Nader H., et al.
Published: (2026)
by: Bshouty, Nader H., et al.
Published: (2026)
On Exact Learning of $d$-Monotone Functions
by: Bshouty, Nader H.
Published: (2025)
by: Bshouty, Nader H.
Published: (2025)
Sublinear Time Algorithms for Abelian Group Isomorphism and Basis Construction
by: Bshouty, Nader H.
Published: (2025)
by: Bshouty, Nader H.
Published: (2025)
A Note on Second-Order Expected Maximum-Load Bounds for Binary Linear Hashing
by: Bshouty, Nader H.
Published: (2026)
by: Bshouty, Nader H.
Published: (2026)
Learning Relevant Contextual Variables Within Bayesian Optimization
by: Martinelli, Julien, et al.
Published: (2023)
by: Martinelli, Julien, et al.
Published: (2023)
Nonlocality and Nonlinearity Implies Universality in Operator Learning
by: Lanthaler, Samuel, et al.
Published: (2023)
by: Lanthaler, Samuel, et al.
Published: (2023)
Proper Laplacian Representation Learning
by: Gomez, Diego, et al.
Published: (2023)
by: Gomez, Diego, et al.
Published: (2023)
Is Risk-Sensitive Reinforcement Learning Properly Resolved?
by: Zhou, Ruiwen, et al.
Published: (2023)
by: Zhou, Ruiwen, et al.
Published: (2023)
Can Implicit Bias Imply Adversarial Robustness?
by: Min, Hancheng, et al.
Published: (2024)
by: Min, Hancheng, et al.
Published: (2024)
Hardness of Learning Fixed Parities with Neural Networks
by: Shoshani, Itamar, et al.
Published: (2025)
by: Shoshani, Itamar, et al.
Published: (2025)
A Mathematical Model for Curriculum Learning for Parities
by: Cornacchia, Elisabetta, et al.
Published: (2023)
by: Cornacchia, Elisabetta, et al.
Published: (2023)
What Representational Similarity Measures Imply about Decodable Information
by: Harvey, Sarah E., et al.
Published: (2024)
by: Harvey, Sarah E., et al.
Published: (2024)
Shallow Representation of Option Implied Information
by: Lin, Jimin
Published: (2026)
by: Lin, Jimin
Published: (2026)
Learning High-Degree Parities: The Crucial Role of the Initialization
by: Abbe, Emmanuel, et al.
Published: (2024)
by: Abbe, Emmanuel, et al.
Published: (2024)
Loss Gap Parity for Fairness in Heterogeneous Federated Learning
by: Erraji, Brahim, et al.
Published: (2026)
by: Erraji, Brahim, et al.
Published: (2026)
Online Robust Reinforcement Learning with General Function Approximation
by: Ghosh, Debamita, et al.
Published: (2025)
by: Ghosh, Debamita, et al.
Published: (2025)
Degree of Irrationality: Sentiment and Implied Volatility Surface
by: Weng, Jiahao, et al.
Published: (2024)
by: Weng, Jiahao, et al.
Published: (2024)
Learning Optimal Individualized Decision Rules with Conditional Demographic Parity
by: Cui, Wenhai, et al.
Published: (2026)
by: Cui, Wenhai, et al.
Published: (2026)
Proper Learnability and the Role of Unlabeled Data
by: Asilis, Julian, et al.
Published: (2025)
by: Asilis, Julian, et al.
Published: (2025)
Proper Latent Decomposition
by: Kelshaw, Daniel, et al.
Published: (2024)
by: Kelshaw, Daniel, et al.
Published: (2024)
Differential Adjusted Parity for Learning Fair Representations
by: Sahyouni, Bucher, et al.
Published: (2025)
by: Sahyouni, Bucher, et al.
Published: (2025)
Computationally Efficient Replicable Learning of Parities and Applications
by: Noivirt, Moshe, et al.
Published: (2026)
by: Noivirt, Moshe, et al.
Published: (2026)
Demographic Parity Tails for Regression
by: Le, Naht Sinh, et al.
Published: (2026)
by: Le, Naht Sinh, et al.
Published: (2026)
A Proper Scoring Rule for Virtual Staining
by: Tonks, Samuel, et al.
Published: (2026)
by: Tonks, Samuel, et al.
Published: (2026)
Ramsey Theorems for Trees and a General 'Private Learning Implies Online Learning' Theorem
by: Fioravanti, Simone, et al.
Published: (2024)
by: Fioravanti, Simone, et al.
Published: (2024)
Sample-Efficient Omniprediction for Proper Losses
by: Gibbs, Isaac, et al.
Published: (2025)
by: Gibbs, Isaac, et al.
Published: (2025)
Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients
by: Fonseca, Yuri, et al.
Published: (2024)
by: Fonseca, Yuri, et al.
Published: (2024)
Exploration Implies Data Augmentation: Reachability and Generalisation in Contextual MDPs
by: Weltevrede, Max, et al.
Published: (2024)
by: Weltevrede, Max, et al.
Published: (2024)
Position: Certified Robustness Does Not (Yet) Imply Model Security
by: Cullen, Andrew C., et al.
Published: (2025)
by: Cullen, Andrew C., et al.
Published: (2025)
Learning High-Dimensional Parity Functions with Product Networks using Gradient Descent
by: Larue, Guillaume, et al.
Published: (2026)
by: Larue, Guillaume, et al.
Published: (2026)
Adaptive Sampling Policies Imply Biased Beliefs: A Generalization of the Hot Stove Effect
by: Denrell, Jerker
Published: (2024)
by: Denrell, Jerker
Published: (2024)
Parity, Sensitivity, and Transformers
by: Kozachinskiy, Alexander, et al.
Published: (2026)
by: Kozachinskiy, Alexander, et al.
Published: (2026)
Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules
by: Hofman, Paul, et al.
Published: (2024)
by: Hofman, Paul, et al.
Published: (2024)
Proper losses regret at least 1/2-order
by: Bao, Han, et al.
Published: (2024)
by: Bao, Han, et al.
Published: (2024)
Uncertainty Quantification for Regression using Proper Scoring Rules
by: Fishkov, Alexander, et al.
Published: (2025)
by: Fishkov, Alexander, et al.
Published: (2025)
Generalized Relevance Learning Grassmann Quantization
by: Mohammadi, M., et al.
Published: (2024)
by: Mohammadi, M., et al.
Published: (2024)
Leveraging Human Feedback for Semantically-Relevant Skill Discovery
by: Hussonnois, Maxence, et al.
Published: (2026)
by: Hussonnois, Maxence, et al.
Published: (2026)
Beyond Contrastive Learning: Synthetic Data Enables List-wise Training with Multiple Levels of Relevance
by: Esfandiarpoor, Reza, et al.
Published: (2025)
by: Esfandiarpoor, Reza, et al.
Published: (2025)
From Pixels to Factors: Learning Independently Controllable State Variables for Reinforcement Learning
by: Rodriguez-Sanchez, Rafael, et al.
Published: (2025)
by: Rodriguez-Sanchez, Rafael, et al.
Published: (2025)
Comparative Analysis of Data Augmentation for Clinical ECG Classification with STAR
by: Nemati, Nader
Published: (2025)
by: Nemati, Nader
Published: (2025)
Similar Items
-
Classes Testable with $O(1/ε)$ Queries for Small $ε$ Independent of the Number of Variables
by: Bshouty, Nader H., et al.
Published: (2026) -
On Exact Learning of $d$-Monotone Functions
by: Bshouty, Nader H.
Published: (2025) -
Sublinear Time Algorithms for Abelian Group Isomorphism and Basis Construction
by: Bshouty, Nader H.
Published: (2025) -
A Note on Second-Order Expected Maximum-Load Bounds for Binary Linear Hashing
by: Bshouty, Nader H.
Published: (2026) -
Learning Relevant Contextual Variables Within Bayesian Optimization
by: Martinelli, Julien, et al.
Published: (2023)