Entropy and the Kullback-Leibler Divergence for Bayesian Networks: Computational Complexity and Efficient Implementation
Fuente:
arXiv
Saved in:
| Main Author: | Scutari, Marco |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generalized Kullback-Leibler Divergence Loss
by: Cui, Jiequan, et al.
Published: (2025)
by: Cui, Jiequan, et al.
Published: (2025)
Better Estimation of the Kullback--Leibler Divergence Between Language Models
by: Amini, Afra, et al.
Published: (2025)
by: Amini, Afra, et al.
Published: (2025)
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation
by: Lv, Jiaming, et al.
Published: (2024)
by: Lv, Jiaming, et al.
Published: (2024)
Diversity-Aware Reverse Kullback-Leibler Divergence for Large Language Model Distillation
by: Luong, Hoang-Chau, et al.
Published: (2026)
by: Luong, Hoang-Chau, et al.
Published: (2026)
Decoupled Kullback-Leibler Divergence Loss
by: Cui, Jiequan, et al.
Published: (2023)
by: Cui, Jiequan, et al.
Published: (2023)
Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models
by: Wu, Taiqiang, et al.
Published: (2024)
by: Wu, Taiqiang, et al.
Published: (2024)
Probabilistic classification from possibilistic data: computing Kullback-Leibler projection with a possibility distribution
by: Baaj, Ismaïl, et al.
Published: (2026)
by: Baaj, Ismaïl, et al.
Published: (2026)
Benchmarking Constraint-Based Bayesian Structure Learning Algorithms: Role of Network Topology
by: Nagarajan, Radha, et al.
Published: (2025)
by: Nagarajan, Radha, et al.
Published: (2025)
Nearly Minimax Discrete Distribution Estimation in Kullback-Leibler Divergence with High Probability
by: van der Hoeven, Dirk, et al.
Published: (2025)
by: van der Hoeven, Dirk, et al.
Published: (2025)
Bayesian Experimental Design for Model Discrepancy Calibration: A Rivalry between Kullback--Leibler Divergence and Wasserstein Distance
by: Yang, Huchen, et al.
Published: (2026)
by: Yang, Huchen, et al.
Published: (2026)
Relaxed Triangle Inequality for Kullback-Leibler Divergence Between Multivariate Gaussian Distributions
by: Xiao, Shiji, et al.
Published: (2026)
by: Xiao, Shiji, et al.
Published: (2026)
Vocabulary Expansion of Large Language Models via Kullback-Leibler-Based Self-Distillation
by: Linder, Max Rehman
Published: (2025)
by: Linder, Max Rehman
Published: (2025)
CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence
by: Zhang, Zao, et al.
Published: (2024)
by: Zhang, Zao, 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)
The Jacobian and Hessian of the Kullback-Leibler Divergence between Multivariate Gaussian Distributions (Technical Report)
by: Maroñas, Juan
Published: (2025)
by: Maroñas, Juan
Published: (2025)
Bayesian Pseudo-Coresets via Contrastive Divergence
by: Tiwary, Piyush, et al.
Published: (2023)
by: Tiwary, Piyush, et al.
Published: (2023)
On the Computational Capability of Graph Neural Networks: A Circuit Complexity Bound Perspective
by: Li, Xiaoyu, et al.
Published: (2025)
by: Li, Xiaoyu, et al.
Published: (2025)
Risk Bounds for Mixture Density Estimation on Compact Domains via the $h$-Lifted Kullback--Leibler Divergence
by: Chong, Mark Chiu, et al.
Published: (2024)
by: Chong, Mark Chiu, et al.
Published: (2024)
Differentiable Annealed Importance Sampling Minimizes The Symmetrized Kullback-Leibler Divergence Between Initial and Target Distribution
by: Zenn, Johannes, et al.
Published: (2024)
by: Zenn, Johannes, et al.
Published: (2024)
Entropy Meets Importance: A Unified Head Importance-Entropy Score for Stable and Efficient Transformer Pruning
by: Choi, Minsik, et al.
Published: (2025)
by: Choi, Minsik, et al.
Published: (2025)
Native Fortran Implementation of TensorFlow-Trained Deep and Bayesian Neural Networks
by: Furlong, Aidan, et al.
Published: (2025)
by: Furlong, Aidan, et al.
Published: (2025)
Kullback-Leibler Barycentre of Stochastic Processes
by: Jaimungal, Sebastian, et al.
Published: (2024)
by: Jaimungal, Sebastian, et al.
Published: (2024)
Entropy Adaptive Decoding: Dynamic Model Switching for Efficient Inference
by: Simonds, Toby
Published: (2025)
by: Simonds, Toby
Published: (2025)
A Note on Bayesian Networks with Latent Root Variables
by: Zaffalon, Marco, et al.
Published: (2024)
by: Zaffalon, Marco, et al.
Published: (2024)
Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study
by: Tan, Shawn, et al.
Published: (2024)
by: Tan, Shawn, et al.
Published: (2024)
A note on the unique properties of the Kullback--Leibler divergence for sampling via gradient flows
by: Crucinio, Francesca Romana
Published: (2025)
by: Crucinio, Francesca Romana
Published: (2025)
Understanding and Improving Shampoo and SOAP via Kullback-Leibler Minimization
by: Lin, Wu, et al.
Published: (2025)
by: Lin, Wu, et al.
Published: (2025)
GTPO: Stabilizing Group Relative Policy Optimization via Gradient and Entropy Control
by: Simoni, Marco, et al.
Published: (2025)
by: Simoni, Marco, et al.
Published: (2025)
Restricted Bayesian Neural Network
by: Ganguly, Sourav, et al.
Published: (2024)
by: Ganguly, Sourav, et al.
Published: (2024)
A Kullback-Leibler divergence method for input-system-state identification
by: Impraimakis, Marios
Published: (2025)
by: Impraimakis, Marios
Published: (2025)
Efficient Agent Training for Computer Use
by: He, Yanheng, et al.
Published: (2025)
by: He, Yanheng, et al.
Published: (2025)
LLM Safety Alignment is Divergence Estimation in Disguise
by: Haldar, Rajdeep, et al.
Published: (2025)
by: Haldar, Rajdeep, et al.
Published: (2025)
From Overfitting to Reliability: Introducing the Hierarchical Approximate Bayesian Neural Network
by: Amirkhanian, Hayk, et al.
Published: (2025)
by: Amirkhanian, Hayk, et al.
Published: (2025)
Symbolic Foundation Regressor on Complex Networks
by: Liu, Weiting, et al.
Published: (2025)
by: Liu, Weiting, et al.
Published: (2025)
Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model
by: Miao, Yibo, et al.
Published: (2023)
by: Miao, Yibo, et al.
Published: (2023)
Federated Learning of Dynamic Bayesian Network via Continuous Optimization from Time Series Data
by: Chen, Jianhong, et al.
Published: (2024)
by: Chen, Jianhong, et al.
Published: (2024)
Manifold Sampling via Entropy Maximization
by: Braun, Cornelius V., et al.
Published: (2026)
by: Braun, Cornelius V., et al.
Published: (2026)
MoxE: Mixture of xLSTM Experts with Entropy-Aware Routing for Efficient Language Modeling
by: Thiombiano, Abdoul Majid O., et al.
Published: (2025)
by: Thiombiano, Abdoul Majid O., et al.
Published: (2025)
Ratio Divergence Learning Using Target Energy in Restricted Boltzmann Machines: Beyond Kullback--Leibler Divergence Learning
by: Ishida, Yuichi, et al.
Published: (2024)
by: Ishida, Yuichi, et al.
Published: (2024)
Do Efficient Transformers Really Save Computation?
by: Yang, Kai, et al.
Published: (2024)
by: Yang, Kai, et al.
Published: (2024)
Similar Items
-
Generalized Kullback-Leibler Divergence Loss
by: Cui, Jiequan, et al.
Published: (2025) -
Better Estimation of the Kullback--Leibler Divergence Between Language Models
by: Amini, Afra, et al.
Published: (2025) -
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation
by: Lv, Jiaming, et al.
Published: (2024) -
Diversity-Aware Reverse Kullback-Leibler Divergence for Large Language Model Distillation
by: Luong, Hoang-Chau, et al.
Published: (2026) -
Decoupled Kullback-Leibler Divergence Loss
by: Cui, Jiequan, et al.
Published: (2023)