Cover Image

Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sefidgaran, Milad, Nadjahi, Kimia, Zaidi, Abdellatif
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Information Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Data-dependent Generalization Bounds via Variable-Size Compressibility
by: Sefidgaran, Milad, et al.
Published: (2023)

Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
by: Sefidgaran, Milad, et al.
Published: (2025)

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior
by: Sefidgaran, Milad, et al.
Published: (2025)

Minimum Description Length and Generalization Guarantees for Representation Learning
by: Sefidgaran, Milad, et al.
Published: (2024)

Minimal Communication-Cost Statistical Learning
by: Sefidgaran, Milad, et al.
Published: (2024)

Heterogeneity Matters even More in Distributed Learning: Study from Generalization Perspective
by: Kavian, Masoud, et al.
Published: (2025)

Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often!
by: Sefidgaran, Milad, 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)

Vehicle-to-Infrastructure Collaborative Spatial Perception via Multimodal Large Language Models
by: Ehsani, Kimia, et al.
Published: (2025)

Slicing Mutual Information Generalization Bounds for Neural Networks
by: Nadjahi, Kimia, et al.
Published: (2024)

On Unified and Sharpened CMI Bounds for Generalization Errors
by: Lu, Yang, et al.
Published: (2026)

Generalization Bounds via Conditional $f$-Information
by: Wang, Ziqiao, et al.
Published: (2024)

Online Prediction of Stochastic Sequences with High Probability Regret Bounds
by: Frey, Matthias, et al.
Published: (2026)

Learning Algorithm Generalization Error Bounds via Auxiliary Distributions
by: Aminian, Gholamali, et al.
Published: (2022)

Bounds on the Excess Minimum Risk via Generalized Information Divergence Measures
by: Omanwar, Ananya, et al.
Published: (2025)

Optimal Transport-based Conformal Prediction
by: Thurin, Gauthier, et al.
Published: (2025)

Convergence Rates for Distribution Matching with Sliced Optimal Transport
by: Thurin, Gauthier, et al.
Published: (2026)

Comparing Comparators in Generalization Bounds
by: Hellström, Fredrik, et al.
Published: (2023)

Generalization Bounds for Transformer Channel Decoders
by: Zhang, Qinshan, et al.
Published: (2026)

Expected Batch Optimal Transport Plans and Consequences for Flow Matching
by: Boïté, Samuel, et al.
Published: (2026)

Generalization Bounds for Neural Belief Propagation Decoders
by: Adiga, Sudarshan, et al.
Published: (2023)

Block-Sample MAC-Bayes Generalization Bounds
by: Frey, Matthias, et al.
Published: (2026)

Generalization Bounds for Quantum Learning via Rényi Divergences
by: Warsi, Naqueeb Ahmad, et al.
Published: (2025)

A DPI-PAC-Bayesian Framework for Generalization Bounds
by: Guan, Muhan, et al.
Published: (2025)

Fast Rate Information-theoretic Bounds on Generalization Errors
by: Wu, Xuetong, et al.
Published: (2023)

Information-Theoretic Generalization Bounds for Deep Neural Networks
by: He, Haiyun, et al.
Published: (2024)

QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative Models
by: Meng, Xiangming, et al.
Published: (2023)

Generalizing Supervised Contrastive learning: A Projection Perspective
by: Jeong, Minoh, et al.
Published: (2025)

Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning
by: Barnes, L. P., et al.
Published: (2022)

Frame Quantization of Neural Networks
by: Czaja, Wojciech, et al.
Published: (2024)

Action-List Reinforcement Learning Syndrome Decoding for Binary Linear Block Codes
by: Taghipour, Milad, et al.
Published: (2025)

Semi-Supervised Learning with Noisy Proxy Covariates: Generalization Bounds and Distribution Regression
by: Kim, Kwangho, et al.
Published: (2026)

Towards A Unified PAC-Bayesian Framework for Norm-based Generalization Bounds
by: Yi, Xinping, et al.
Published: (2026)

An Information-Theoretic Framework for Out-of-Distribution Generalization with Applications to Stochastic Gradient Langevin Dynamics
by: Liu, Wenliang, et al.
Published: (2024)

Enhancing Channel Estimation in Quantized Systems with a Generative Prior
by: Fesl, Benedikt, et al.
Published: (2024)

Reinforcement Learning Based Goodput Maximization with Quantized Feedback in URLLC
by: Celebi, Hasan Basri, et al.
Published: (2025)

Gaussian Rate-Distortion-Perception Coding and Entropy-Constrained Scalar Quantization
by: Xie, Li, et al.
Published: (2024)

Restrictions on Physical Stochastic Reservoir Computers
by: Polloreno, Anthony M.
Published: (2023)

Matrix Completion in Group Testing: Bounds and Simulations
by: Tran, Trung-Khang, et al.
Published: (2025)

The No-Clash Teaching Dimension is Bounded by VC Dimension
by: Liu, Jiahua, et al.
Published: (2026)