Saved in:
| Main Author: | Nielsen, Frank |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2312.12849 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Symplectic Bregman divergences
by: Nielsen, Frank
Published: (2024)
by: Nielsen, Frank
Published: (2024)
Two tales for a geometric Jensen--Shannon divergence
by: Nielsen, Frank
Published: (2025)
by: Nielsen, Frank
Published: (2025)
A note on the Artstein-Avidan-Milman's generalized Legendre transforms
by: Nielsen, Frank
Published: (2025)
by: Nielsen, Frank
Published: (2025)
Curved representational Bregman divergences and their applications
by: Nielsen, Frank
Published: (2025)
by: Nielsen, Frank
Published: (2025)
Variational Representations of Annealing Paths: Bregman Information under Monotonic Embedding
by: Brekelmans, Rob, et al.
Published: (2022)
by: Brekelmans, Rob, et al.
Published: (2022)
Information measures and geometry of the hyperbolic exponential families of Poincaré and hyperboloid distributions
by: Nielsen, Frank, et al.
Published: (2022)
by: Nielsen, Frank, et al.
Published: (2022)
Geometric Jensen-Shannon Divergence Between Gaussian Measures On Hilbert Space
by: Quang, Minh Ha, et al.
Published: (2025)
by: Quang, Minh Ha, et al.
Published: (2025)
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)
Relationship between Hölder Divergence and Functional Density Power Divergence: Intersection and Generalization
by: Kobayashi, Masahiro
Published: (2025)
by: Kobayashi, Masahiro
Published: (2025)
Fast proxy centers for Jeffreys centroids: The Jeffreys-Fisher-Rao and the inductive Gauss-Bregman centers
by: Nielsen, Frank
Published: (2024)
by: Nielsen, Frank
Published: (2024)
Approximation and bounding techniques for the Fisher-Rao distances between parametric statistical models
by: Nielsen, Frank
Published: (2024)
by: Nielsen, Frank
Published: (2024)
The Representation Jensen-Shannon Divergence
by: Hoyos-Osorio, Jhoan K., et al.
Published: (2023)
by: Hoyos-Osorio, Jhoan K., et al.
Published: (2023)
Cauchy-Schwarz Divergence Information Bottleneck for Regression
by: Yu, Shujian, et al.
Published: (2024)
by: Yu, Shujian, et al.
Published: (2024)
A Connection Between Learning to Reject and Bhattacharyya Divergences
by: Soen, Alexander
Published: (2025)
by: Soen, Alexander
Published: (2025)
Unbiased Estimating Equation on Inverse Divergence and Its Conditions
by: Kobayashi, Masahiro, et al.
Published: (2024)
by: Kobayashi, Masahiro, et al.
Published: (2024)
Generalising maximum mean discrepancy: kernelised functional Bregman divergences
by: Tsuchida, Russell, et al.
Published: (2026)
by: Tsuchida, Russell, et al.
Published: (2026)
A series of maximum entropy upper bounds of the differential entropy
by: Nielsen, Frank, et al.
Published: (2016)
by: Nielsen, Frank, et al.
Published: (2016)
Implicit Hypothesis Testing and Divergence Preservation in Neural Network Representations
by: Aksoy, Kadircan, et al.
Published: (2026)
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)
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)
A dual basis approach to multidimensional scaling
by: Lichtenberg, Samuel, et al.
Published: (2023)
by: Lichtenberg, Samuel, et al.
Published: (2023)
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)
Adaptivity can help exponentially for shadow tomography
by: Chen, Sitan, et al.
Published: (2024)
by: Chen, Sitan, et al.
Published: (2024)
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)
Fast Convergence of $Φ$-Divergence Along the Unadjusted Langevin Algorithm and Proximal Sampler
by: Mitra, Siddharth, et al.
Published: (2024)
by: Mitra, Siddharth, et al.
Published: (2024)
A Unified Representation of Density-Power-Based Divergences Reducible to M-Estimation
by: Kobayashi, Masahiro
Published: (2025)
by: Kobayashi, Masahiro
Published: (2025)
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)
On the sample complexity of parameter estimation in logistic regression with normal design
by: Hsu, Daniel, et al.
Published: (2023)
by: Hsu, Daniel, et al.
Published: (2023)
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)
Black-Box Detection of LLM-Generated Text Using Generalized Jensen-Shannon Divergence
by: Chen, Shuangyi, et al.
Published: (2025)
by: Chen, Shuangyi, et al.
Published: (2025)
Adaptive $k$-nearest neighbor classifier based on the local estimation of the shape operator
by: Levada, Alexandre Luís Magalhães, et al.
Published: (2024)
by: Levada, Alexandre Luís Magalhães, et al.
Published: (2024)
Exponential families from a single KL identity
by: Dymetman, Marc
Published: (2026)
by: Dymetman, Marc
Published: (2026)
pyBregMan: A Python library for Bregman Manifolds
by: Nielsen, Frank, et al.
Published: (2024)
by: Nielsen, Frank, et al.
Published: (2024)
Infinitely divisible privacy and beyond I: resolution of the $s^2=2k$ conjecture
by: Pandey, Aaradhya, et al.
Published: (2025)
by: Pandey, Aaradhya, et al.
Published: (2025)
Generalization Bounds for Quantum Learning via Rényi Divergences
by: Warsi, Naqueeb Ahmad, et al.
Published: (2025)
by: Warsi, Naqueeb Ahmad, et al.
Published: (2025)
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)
$f$-Divergence Regularized RLHF: Two Tales of Sampling and Unified Analyses
by: Wu, Di, et al.
Published: (2026)
by: Wu, Di, et al.
Published: (2026)
A Neural Network Algorithm for KL Divergence Estimation with Quantitative Error Bounds
by: Foss, Mikil, et al.
Published: (2025)
by: Foss, Mikil, et al.
Published: (2025)
Avoiding subtraction and division of stochastic signals using normalizing flows: NFdeconvolve
by: Pessoa, Pedro, et al.
Published: (2025)
by: Pessoa, Pedro, et al.
Published: (2025)
Duality induced by an embedding structure of determinantal point process
by: Hino, Hideitsu, et al.
Published: (2024)
by: Hino, Hideitsu, et al.
Published: (2024)
Similar Items
-
Symplectic Bregman divergences
by: Nielsen, Frank
Published: (2024) -
Two tales for a geometric Jensen--Shannon divergence
by: Nielsen, Frank
Published: (2025) -
A note on the Artstein-Avidan-Milman's generalized Legendre transforms
by: Nielsen, Frank
Published: (2025) -
Curved representational Bregman divergences and their applications
by: Nielsen, Frank
Published: (2025) -
Variational Representations of Annealing Paths: Bregman Information under Monotonic Embedding
by: Brekelmans, Rob, et al.
Published: (2022)