Cover Image

Fast Kd-trees for the Kullback--Leibler Divergence and other Decomposable Bregman Divergences

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pham, Tuyen, Wagner, Hubert
Format:	Preprint
Published:	2025
Subjects:	Computational Geometry
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bregman-Hausdorff divergence: strengthening the connections between computational geometry and machine learning
by: Pham, Tuyen, et al.
Published: (2025)

Computing Representatives of Persistent Homology Generators with a Double Twist
by: Pham, Tuyen, et al.
Published: (2024)

Decoupled Kullback-Leibler Divergence Loss
by: Cui, Jiequan, et al.
Published: (2023)

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)

Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models
by: Wu, Taiqiang, et al.
Published: (2024)

Evaluating Earth-Observing Satellite Sampling Effectiveness Using Kullback-Leibler Divergence
by: Esmaeili, Negin, et al.
Published: (2025)

Entropy and the Kullback-Leibler Divergence for Bayesian Networks: Computational Complexity and Efficient Implementation
by: Scutari, Marco
Published: (2023)

Parallelizing MCMC with Machine Learning Classifier and Its Criterion Based on Kullback-Leibler Divergence
by: Matsumoto, Tomoki
Published: (2024)

The Hellinger Bounds on the Kullback-Leibler Divergence and the Bernstein Norm
by: Kaji, Tetsuya
Published: (2026)

Fractional Programming for Kullback-Leibler Divergence in Hypothesis Testing
by: Park, Jeongwoo, et al.
Published: (2026)

Establishing a Scale for Kullback-Leibler Divergence in Language Models Across Various Settings
by: Kishino, Ryo, et al.
Published: (2025)

A Hierarchical Decomposition of Kullback-Leibler Divergence: Disentangling Marginal Mismatches from Statistical Dependencies
by: Cook, William
Published: (2025)

Robust Phase Retrieval via Reverse Kullback-Leibler Divergence
by: Choudhury, Nazia Afroz, et al.
Published: (2022)

Central Limit Theorem on Symmetric Kullback-Leibler (KL) Divergence
by: Rojas, Helder, et al.
Published: (2024)

Quantum Causal Discovery via Amplitude Estimation of Kullback-Leibler Divergence
by: Sodagari, Shabnam
Published: (2026)

A New Estimator of Kullback--Leibler Divergence via Shannon Entropy
by: Cadirci, Mehmet Siddik, et al.
Published: (2026)

Statistically Adaptive Differential Protection for AC Microgrids Based on Kullback-Leibler Divergence
by: Torkashvand, Shahab Moradi, et al.
Published: (2025)

Relativistic Limits of Decoding: Critical Divergence of Kullback-Leibler Information and Free Energy
by: Tsuruyama, Tatsuaki
Published: (2025)

Nearly Minimax Discrete Distribution Estimation in Kullback-Leibler Divergence with High Probability
by: van der Hoeven, Dirk, et al.
Published: (2025)

Conic Reformulations for Kullback-Leibler Divergence Constrained Distributionally Robust Optimization and Applications
by: Kocuk, Burak
Published: (2020)

Learning with Delayed Payoffs in Population Games using Kullback-Leibler Divergence Regularization
by: Park, Shinkyu, et al.
Published: (2023)

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

Diversity-Aware Reverse Kullback-Leibler Divergence for Large Language Model Distillation
by: Luong, Hoang-Chau, et al.
Published: (2026)

Ratio Divergence Learning Using Target Energy in Restricted Boltzmann Machines: Beyond Kullback--Leibler Divergence Learning
by: Ishida, Yuichi, et al.
Published: (2024)

Connecting Jensen-Shannon and Kullback-Leibler Divergences: A New Bound for Representation Learning
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)

Universality of the Divergence
by: Ni, Lei, et al.
Published: (2025)

Kullback-Leibler Divergence as a Measure of Irreversible Information Loss Near Black Hole Horizons
by: Tsuruyama, Tatsuaki
Published: (2025)

Kullback–Leibler Divergence‐Based Fault Detection Scheme for 100% Inverter Interfaced Autonomous Microgrids
by: Ali Mallahi, et al.
Published: (2025)

Majorization-minimization Bregman proximal gradient algorithms for NMF with the Kullback--Leibler divergence
by: Takahashi, Shota, et al.
Published: (2024)

A Model-Free Kullback-Leibler Divergence Filter for Anomaly Detection in Noisy Data Series
by: Zhou, Ruikun, et al.
Published: (2024)

CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence
by: Zhang, Zao, et al.
Published: (2024)

Edge-wise Topological Divergence Gaps: Guiding Search in Combinatorial Optimization
by: Trofimov, Ilya, 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)

Differentiable Annealed Importance Sampling Minimizes The Symmetrized Kullback-Leibler Divergence Between Initial and Target Distribution
by: Zenn, Johannes, et al.
Published: (2024)

Decomposing zero-dimensional persistent homology over rooted tree quivers
by: Bindua, Riju, et al.
Published: (2024)

Unifying computational entropies via Kullback-Leibler divergence
by: Agrawal, Rohit, et al.
Published: (2019)

Bayesian Experimental Design for Model Discrepancy Calibration: A Rivalry between Kullback--Leibler Divergence and Wasserstein Distance
by: Yang, Huchen, et al.
Published: (2026)