:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yu, Shujian, Li, Hongming, Løkse, Sigurd, Jenssen, Robert, Príncipe, José C.
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Information Theory
Online Access:	https://arxiv.org/abs/2301.08970
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cauchy-Schwarz Divergence Information Bottleneck for Regression
by: Yu, Shujian, et al.
Published: (2024)

Generalized Cauchy-Schwarz Divergence and Its Deep Learning Applications
by: Lu, Mingfei, et al.
Published: (2024)

Cross-Modal Retrieval with Cauchy-Schwarz Divergence
by: Zhang, Jiahao, et al.
Published: (2025)

Domain Adaptation with Cauchy-Schwarz Divergence
by: Yin, Wenzhe, et al.
Published: (2024)

Leveraging tensor kernels to reduce objective function mismatch in deep clustering
by: Trosten, Daniel J., et al.
Published: (2020)

OVA-IB: One vs All Information Bottleneck for Multi-Modal Alignment
by: Li, Tianchao, et al.
Published: (2026)

Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence
by: Yin, Wenzhe, et al.
Published: (2025)

InfoDPCCA: Information-Theoretic Dynamic Probabilistic Canonical Correlation Analysis
by: Tang, Shiqin, et al.
Published: (2025)

The Normalized Cross Density Functional: A Framework to Quantify Statistical Dependence for Random Processes
by: Hu, Bo, et al.
Published: (2022)

ELEMENT: Episodic and Lifelong Exploration via Maximum Entropy
by: Li, Hongming, et al.
Published: (2024)

Unbiased Estimating Equation on Inverse Divergence and Its Conditions
by: Kobayashi, Masahiro, et al.
Published: (2024)

When Brain Foundation Model Meets Cauchy-Schwarz Divergence: A New Framework for Cross-Subject Motor Imagery Decoding
by: Wu, Jinzhou, et al.
Published: (2025)

How Patterns Dictate Learnability in Sequential Data
by: Morawski, Mario, et al.
Published: (2025)

Instantiating Bayesian CVaR lower bounds in Interactive Decision Making Problems
by: Bongole, Raghav, et al.
Published: (2026)

Relationship between Hölder Divergence and Functional Density Power Divergence: Intersection and Generalization
by: Kobayashi, Masahiro
Published: (2025)

A Quantum Tensor Network-Based Viewpoint for Modeling and Analysis of Time Series Data
by: Vipulananthan, Pragatheeswaran, et al.
Published: (2025)

Evolution of Information in Interactive Decision Making: A Case Study for Multi-Armed Bandits
by: Gu, Yuzhou, et al.
Published: (2025)

Robust Semi-supervised Learning via $f$-Divergence and $α$-Rényi Divergence
by: Aminian, Gholamali, et al.
Published: (2024)

Social Teaching: Being Informative vs. Being Right in Sequential Decision Making
by: Rhim, Joong Bum, et al.
Published: (2012)

The Representation Jensen-Shannon Divergence
by: Hoyos-Osorio, Jhoan K., et al.
Published: (2023)

Decision Making in Changing Environments: Robustness, Query-Based Learning, and Differential Privacy
by: Chen, Fan, et al.
Published: (2025)

Mutual Information Estimation via $f$-Divergence and Data Derangements
by: Letizia, Nunzio A., et al.
Published: (2023)

Conditional Cauchy-Schwarz Divergence for Time Series Analysis: Kernelized Estimation and Applications in Clustering and Fraud Detection
by: Wang, Jiayi
Published: (2026)

Deep Dict: Deep Learning-based Lossy Time Series Compressor for IoT Data
by: Liu, Jinxin, et al.
Published: (2024)

A Connection Between Learning to Reject and Bhattacharyya Divergences
by: Soen, Alexander
Published: (2025)

On Self-Adaptive Perception Loss Function for Sequential Lossy Compression
by: Salehkalaibar, Sadaf, et al.
Published: (2025)

HIERVAR: A Hierarchical Feature Selection Method for Time Series Analysis
by: Keshavarzian, Alireza, et al.
Published: (2024)

Measured Hockey-Stick Divergence and its Applications to Quantum Pufferfish Privacy
by: Nuradha, Theshani, et al.
Published: (2025)

Implicit Hypothesis Testing and Divergence Preservation in Neural Network Representations
by: Aksoy, Kadircan, et al.
Published: (2026)

Equivalence of the Empirical Risk Minimization to Regularization on the Family of f-Divergences
by: Daunas, Francisco, et al.
Published: (2024)

Indexed Minimum Empirical Divergence-Based Algorithms for Linear Bandits
by: Bian, Jie, et al.
Published: (2024)

Fast Convergence of $Φ$-Divergence Along the Unadjusted Langevin Algorithm and Proximal Sampler
by: Mitra, Siddharth, et al.
Published: (2024)

A Unified Representation of Density-Power-Based Divergences Reducible to M-Estimation
by: Kobayashi, Masahiro
Published: (2025)

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

Price of Quality: Sufficient Conditions for Sparse Recovery using Mixed-Quality Data
by: Chaabouni, Youssef, et al.
Published: (2026)

VISTA: Unsupervised 2D Temporal Dependency Representations for Time Series Anomaly Detection
by: Chin, Sinchee, et al.
Published: (2025)

Non-Linear Strong Data-Processing for Quantum Hockey-Stick Divergences
by: Nuradha, Theshani, et al.
Published: (2025)

Divergences induced by dual subtractive and divisive normalizations of exponential families and their convex deformations
by: Nielsen, Frank
Published: (2023)

Relaxed Triangle Inequality for Kullback-Leibler Divergence Between Multivariate Gaussian Distributions
by: Xiao, Shiji, et al.
Published: (2026)

Application of Deep Learning in Biological Data Compression
by: Zou, Chunyu
Published: (2025)