Bounds on the Excess Minimum Risk via Generalized Information Divergence Measures
Fuente:
arXiv
Saved in:
| Main Authors: | Omanwar, Ananya, Alajaji, Fady, Linder, Tamás |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Communication Complexity of Exact Sampling under Rényi Information
by: Hill, Spencer, et al.
Published: (2025)
by: Hill, Spencer, et al.
Published: (2025)
Rejection Sampling is Optimal for Relative Entropy Coding
by: Hill, Spencer, et al.
Published: (2026)
by: Hill, Spencer, et al.
Published: (2026)
Optimal Binary Signaling for a Two Sensor Gaussian MAC Network
by: Sardellitti, Luca, et al.
Published: (2024)
by: Sardellitti, Luca, et al.
Published: (2024)
Generalization Bounds for Quantum Learning via Rényi Divergences
by: Warsi, Naqueeb Ahmad, et al.
Published: (2025)
by: Warsi, Naqueeb Ahmad, et al.
Published: (2025)
Pólya Thresholds Graphs
by: Yu, Jinghan, et al.
Published: (2026)
by: Yu, Jinghan, et al.
Published: (2026)
Indexed Minimum Empirical Divergence-Based Algorithms for Linear Bandits
by: Bian, Jie, et al.
Published: (2024)
by: Bian, Jie, et al.
Published: (2024)
Sliding Window Codes: Near-Optimality and Q-Learning for Zero-Delay Coding
by: Cregg, Liam, et al.
Published: (2023)
by: Cregg, Liam, et al.
Published: (2023)
Tighter Information-Theoretic Generalization Bounds via a Novel Class of Change of Measure Inequalities
by: Liu, Yanxiao, et al.
Published: (2026)
by: Liu, Yanxiao, et al.
Published: (2026)
Generalization Bounds via Conditional $f$-Information
by: Wang, Ziqiao, et al.
Published: (2024)
by: Wang, Ziqiao, et al.
Published: (2024)
A Unifying Generator Loss Function for Generative Adversarial Networks
by: Veiner, Justin, et al.
Published: (2023)
by: Veiner, Justin, et al.
Published: (2023)
Equivalence of the Empirical Risk Minimization to Regularization on the Family of f-Divergences
by: Daunas, Francisco, et al.
Published: (2024)
by: Daunas, Francisco, et al.
Published: (2024)
Robust Semi-supervised Learning via $f$-Divergence and $α$-Rényi Divergence
by: Aminian, Gholamali, et al.
Published: (2024)
by: Aminian, Gholamali, et al.
Published: (2024)
Connecting Jensen-Shannon and Kullback-Leibler Divergences: A New Bound for Representation Learning
by: Dorent, Reuben, et al.
Published: (2025)
by: Dorent, Reuben, et al.
Published: (2025)
Relationship between Hölder Divergence and Functional Density Power Divergence: Intersection and Generalization
by: Kobayashi, Masahiro
Published: (2025)
by: Kobayashi, Masahiro
Published: (2025)
Cauchy-Schwarz Divergence Information Bottleneck for Regression
by: Yu, Shujian, et al.
Published: (2024)
by: Yu, Shujian, et al.
Published: (2024)
Fast Rate Information-theoretic Bounds on Generalization Errors
by: Wu, Xuetong, et al.
Published: (2023)
by: Wu, Xuetong, et al.
Published: (2023)
Information-Theoretic Generalization Bounds for Deep Neural Networks
by: He, Haiyun, et al.
Published: (2024)
by: He, Haiyun, et al.
Published: (2024)
Minimum Description Length and Generalization Guarantees for Representation Learning
by: Sefidgaran, Milad, et al.
Published: (2024)
by: Sefidgaran, Milad, 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)
Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning
by: Barnes, L. P., et al.
Published: (2022)
by: Barnes, L. P., et al.
Published: (2022)
Mutual Information Estimation via $f$-Divergence and Data Derangements
by: Letizia, Nunzio A., et al.
Published: (2023)
by: Letizia, Nunzio A., et al.
Published: (2023)
Learning Algorithm Generalization Error Bounds via Auxiliary Distributions
by: Aminian, Gholamali, et al.
Published: (2022)
by: Aminian, Gholamali, et al.
Published: (2022)
Data-dependent Generalization Bounds via Variable-Size Compressibility
by: Sefidgaran, Milad, et al.
Published: (2023)
by: Sefidgaran, Milad, et al.
Published: (2023)
A Theory of Machine Understanding via the Minimum Description Length Principle
by: Zhang, Canlin, et al.
Published: (2025)
by: Zhang, Canlin, et al.
Published: (2025)
Cross-Domain Lossy Compression via Constrained Minimum Entropy Coupling
by: Nguyen, Nam, et al.
Published: (2026)
by: Nguyen, Nam, et al.
Published: (2026)
Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization
by: Sefidgaran, Milad, et al.
Published: (2025)
by: Sefidgaran, Milad, et al.
Published: (2025)
Black-Box Detection of LLM-Generated Text Using Generalized Jensen-Shannon Divergence
by: Chen, Shuangyi, et al.
Published: (2025)
by: Chen, Shuangyi, et al.
Published: (2025)
Minimum Entropy Coupling with Bottleneck
by: Ebrahimi, M. Reza, et al.
Published: (2024)
by: Ebrahimi, M. Reza, et al.
Published: (2024)
A Neural Network Algorithm for KL Divergence Estimation with Quantitative Error Bounds
by: Foss, Mikil, et al.
Published: (2025)
by: Foss, Mikil, et al.
Published: (2025)
Comparing Comparators in Generalization Bounds
by: Hellström, Fredrik, et al.
Published: (2023)
by: Hellström, Fredrik, et al.
Published: (2023)
The Representation Jensen-Shannon Divergence
by: Hoyos-Osorio, Jhoan K., et al.
Published: (2023)
by: Hoyos-Osorio, Jhoan K., et al.
Published: (2023)
Generalization Bounds for Transformer Channel Decoders
by: Zhang, Qinshan, et al.
Published: (2026)
by: Zhang, Qinshan, et al.
Published: (2026)
Generalization Bounds for Neural Belief Propagation Decoders
by: Adiga, Sudarshan, et al.
Published: (2023)
by: Adiga, Sudarshan, et al.
Published: (2023)
Block-Sample MAC-Bayes Generalization Bounds
by: Frey, Matthias, et al.
Published: (2026)
by: Frey, Matthias, et al.
Published: (2026)
Separable Computation of Information Measures
by: Xu, Xiangxiang, et al.
Published: (2025)
by: Xu, Xiangxiang, et al.
Published: (2025)
Generalization Bounds: Perspectives from Information Theory and PAC-Bayes
by: Hellström, Fredrik, et al.
Published: (2023)
by: Hellström, Fredrik, et al.
Published: (2023)
A DPI-PAC-Bayesian Framework for Generalization Bounds
by: Guan, Muhan, et al.
Published: (2025)
by: Guan, Muhan, et al.
Published: (2025)
Measures of Information Reflect Memorization Patterns
by: Bansal, Rachit, et al.
Published: (2022)
by: Bansal, Rachit, et al.
Published: (2022)
Information-Theoretic Minimax Regret Bounds for Reinforcement Learning based on Duality
by: Bongole, Raghav, et al.
Published: (2024)
by: Bongole, Raghav, et al.
Published: (2024)
A Connection Between Learning to Reject and Bhattacharyya Divergences
by: Soen, Alexander
Published: (2025)
by: Soen, Alexander
Published: (2025)
Similar Items
-
Communication Complexity of Exact Sampling under Rényi Information
by: Hill, Spencer, et al.
Published: (2025) -
Rejection Sampling is Optimal for Relative Entropy Coding
by: Hill, Spencer, et al.
Published: (2026) -
Optimal Binary Signaling for a Two Sensor Gaussian MAC Network
by: Sardellitti, Luca, et al.
Published: (2024) -
Generalization Bounds for Quantum Learning via Rényi Divergences
by: Warsi, Naqueeb Ahmad, et al.
Published: (2025) -
Pólya Thresholds Graphs
by: Yu, Jinghan, et al.
Published: (2026)