Cauchy-Schwarz Divergence Information Bottleneck for Regression
Fuente:
arXiv
Saved in:
| Main Authors: | Yu, Shujian, Yu, Xi, Løkse, Sigurd, Jenssen, Robert, Principe, Jose C. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making
by: Yu, Shujian, et al.
Published: (2023)
by: Yu, Shujian, et al.
Published: (2023)
Generalized Cauchy-Schwarz Divergence and Its Deep Learning Applications
by: Lu, Mingfei, et al.
Published: (2024)
by: Lu, Mingfei, et al.
Published: (2024)
OVA-IB: One vs All Information Bottleneck for Multi-Modal Alignment
by: Li, Tianchao, et al.
Published: (2026)
by: Li, Tianchao, et al.
Published: (2026)
Domain Adaptation with Cauchy-Schwarz Divergence
by: Yin, Wenzhe, et al.
Published: (2024)
by: Yin, Wenzhe, et al.
Published: (2024)
InfoDPCCA: Information-Theoretic Dynamic Probabilistic Canonical Correlation Analysis
by: Tang, Shiqin, et al.
Published: (2025)
by: Tang, Shiqin, et al.
Published: (2025)
Cross-Modal Retrieval with Cauchy-Schwarz Divergence
by: Zhang, Jiahao, et al.
Published: (2025)
by: Zhang, Jiahao, et al.
Published: (2025)
Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence
by: Yin, Wenzhe, et al.
Published: (2025)
by: Yin, Wenzhe, et al.
Published: (2025)
Leveraging tensor kernels to reduce objective function mismatch in deep clustering
by: Trosten, Daniel J., et al.
Published: (2020)
by: Trosten, Daniel J., et al.
Published: (2020)
BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck
by: Zheng, Kaizhong, et al.
Published: (2022)
by: Zheng, Kaizhong, et al.
Published: (2022)
Projection Head is Secretly an Information Bottleneck
by: Ouyang, Zhuo, et al.
Published: (2025)
by: Ouyang, Zhuo, 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)
by: Hu, Bo, et al.
Published: (2022)
When Brain Foundation Model Meets Cauchy-Schwarz Divergence: A New Framework for Cross-Subject Motor Imagery Decoding
by: Wu, Jinzhou, et al.
Published: (2025)
by: Wu, Jinzhou, et al.
Published: (2025)
Differentiable Information Bottleneck for Deterministic Multi-view Clustering
by: Yan, Xiaoqiang, et al.
Published: (2024)
by: Yan, Xiaoqiang, et al.
Published: (2024)
A Generalized Information Bottleneck Theory of Deep Learning
by: Westphal, Charles, et al.
Published: (2025)
by: Westphal, Charles, et al.
Published: (2025)
GeoIB: Geometry-Aware Information Bottleneck via Statistical-Manifold Compression
by: Wang, Weiqi, et al.
Published: (2026)
by: Wang, Weiqi, et al.
Published: (2026)
Statistically Valid Information Bottleneck via Multiple Hypothesis Testing
by: Farzaneh, Amirmohammad, et al.
Published: (2024)
by: Farzaneh, Amirmohammad, et al.
Published: (2024)
Structured IB: Improving Information Bottleneck with Structured Feature Learning
by: Yang, Hanzhe, et al.
Published: (2024)
by: Yang, Hanzhe, et al.
Published: (2024)
Distributed Information Bottleneck Theory for Multi-Modal Task-Aware Semantic Communication
by: Zhou, Yujie, et al.
Published: (2025)
by: Zhou, Yujie, 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)
Predictability Analysis of Regression Problems via Conditional Entropy Estimations
by: Fang, Yu-Hsueh, et al.
Published: (2024)
by: Fang, Yu-Hsueh, et al.
Published: (2024)
Bounds on the Excess Minimum Risk via Generalized Information Divergence Measures
by: Omanwar, Ananya, et al.
Published: (2025)
by: Omanwar, Ananya, et al.
Published: (2025)
The Causal Information Bottleneck and Optimal Causal Variable Abstractions
by: Simoes, Francisco N. F. Q., et al.
Published: (2024)
by: Simoes, Francisco N. F. Q., 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)
Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck
by: Li, Hongru, et al.
Published: (2024)
by: Li, Hongru, et al.
Published: (2024)
The Alignment Bottleneck
by: Cao, Wenjun
Published: (2025)
by: Cao, Wenjun
Published: (2025)
Relationship between Hölder Divergence and Functional Density Power Divergence: Intersection and Generalization
by: Kobayashi, Masahiro
Published: (2025)
by: Kobayashi, Masahiro
Published: (2025)
The Representation Jensen-Shannon Divergence
by: Hoyos-Osorio, Jhoan K., et al.
Published: (2023)
by: Hoyos-Osorio, Jhoan K., et al.
Published: (2023)
Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training
by: Kudo, Sota, et al.
Published: (2024)
by: Kudo, Sota, et al.
Published: (2024)
Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck
by: Federici, Marco, et al.
Published: (2023)
by: Federici, Marco, et al.
Published: (2023)
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)
A Connection Between Learning to Reject and Bhattacharyya Divergences
by: Soen, Alexander
Published: (2025)
by: Soen, Alexander
Published: (2025)
Breaking AR's Sampling Bottleneck: Provable Acceleration via Diffusion Language Models
by: Li, Gen, et al.
Published: (2025)
by: Li, Gen, et al.
Published: (2025)
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)
Indexed Minimum Empirical Divergence-Based Algorithms for Linear Bandits
by: Bian, Jie, et al.
Published: (2024)
by: Bian, Jie, et al.
Published: (2024)
Implicit Hypothesis Testing and Divergence Preservation in Neural Network Representations
by: Aksoy, Kadircan, et al.
Published: (2026)
by: Aksoy, Kadircan, et al.
Published: (2026)
Unbiased Estimating Equation on Inverse Divergence and Its Conditions
by: Kobayashi, Masahiro, et al.
Published: (2024)
by: Kobayashi, Masahiro, et al.
Published: (2024)
Explainable Multimodal Regression via Information Decomposition
by: Ma, Zhaozhao, et al.
Published: (2025)
by: Ma, Zhaozhao, et al.
Published: (2025)
Neuromorphic Wireless Device-Edge Co-Inference via the Directed Information Bottleneck
by: Ke, Yuzhen, et al.
Published: (2024)
by: Ke, Yuzhen, et al.
Published: (2024)
VNDUQE: Information-Theoretic Novelty Detection using Deep Variational Information Bottleneck
by: Gondkar, Aryan, et al.
Published: (2026)
by: Gondkar, Aryan, et al.
Published: (2026)
Divergences induced by dual subtractive and divisive normalizations of exponential families and their convex deformations
by: Nielsen, Frank
Published: (2023)
by: Nielsen, Frank
Published: (2023)
Similar Items
-
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making
by: Yu, Shujian, et al.
Published: (2023) -
Generalized Cauchy-Schwarz Divergence and Its Deep Learning Applications
by: Lu, Mingfei, et al.
Published: (2024) -
OVA-IB: One vs All Information Bottleneck for Multi-Modal Alignment
by: Li, Tianchao, et al.
Published: (2026) -
Domain Adaptation with Cauchy-Schwarz Divergence
by: Yin, Wenzhe, et al.
Published: (2024) -
InfoDPCCA: Information-Theoretic Dynamic Probabilistic Canonical Correlation Analysis
by: Tang, Shiqin, et al.
Published: (2025)