Imagen de Portada

Variational Representations of Annealing Paths: Bregman Information under Monotonic Embedding

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Brekelmans, Rob, Nielsen, Frank
Formato:	Preprint
Publicado:	2022
Materias:	Machine Learning Information Theory Statistics Theory
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Symplectic Bregman divergences
por: Nielsen, Frank
Publicado: (2024)

Curved representational Bregman divergences and their applications
por: Nielsen, Frank
Publicado: (2025)

The Sample Complexity of Distributed Simple Binary Hypothesis Testing under Information Constraints
por: Kazemi, Hadi, et al.
Publicado: (2025)

Asymptotic Theory of Eigenvectors for Latent Embeddings with Generalized Laplacian Matrices
por: Fan, Jianqing, et al.
Publicado: (2025)

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

Variations on the Expectation due to Changes in the Probability Measure
por: Perlaza, Samir M., et al.
Publicado: (2025)

Variational Optimality of Föllmer Processes in Generative Diffusions
por: Chen, Yifan, et al.
Publicado: (2026)

Adaptive Refinement Protocols for Distributed Distribution Estimation under $\ell^p$-Losses
por: Yuan, Deheng, et al.
Publicado: (2024)

Precise analysis of ridge interpolators under heavy correlations -- a Random Duality Theory view
por: Stojnic, Mihailo
Publicado: (2024)

Information-Geometric Decomposition of Generalization Error in Unsupervised Learning
por: Kim, Gilhan
Publicado: (2026)

Online Clustering of Data Sequences with Bandit Information
por: Chandran, G Dhinesh, et al.
Publicado: (2025)

Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs
por: Huang, Dong, et al.
Publicado: (2024)

A Unified Framework for Debiased Machine Learning: Riesz Representer Fitting under Bregman Divergence
por: Kato, Masahiro
Publicado: (2026)

Characterizing Dependence of Samples along the Langevin Dynamics and Algorithms via Contraction of $Φ$-Mutual Information
por: Liang, Jiaming, et al.
Publicado: (2024)

Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses
por: Abdelaleem, Eslam, et al.
Publicado: (2023)

Fast proxy centers for Jeffreys centroids: The Jeffreys-Fisher-Rao and the inductive Gauss-Bregman centers
por: Nielsen, Frank
Publicado: (2024)

Generalising maximum mean discrepancy: kernelised functional Bregman divergences
por: Tsuchida, Russell, et al.
Publicado: (2026)

High-dimensional Clustering and Signal Recovery under Block Signals
por: Su, Wu, et al.
Publicado: (2025)

Information-Theoretic Guarantees for Recovering Low-Rank Tensors from Symmetric Rank-One Measurements
por: Kızıldağ, Eren C.
Publicado: (2025)

Optimal Regret of Bernoulli Bandits under Global Differential Privacy
por: Azize, Achraf, et al.
Publicado: (2025)

Statistical-Computational Trade-offs in Tensor PCA and Related Problems via Communication Complexity
por: Dudeja, Rishabh, et al.
Publicado: (2022)

Empirical Risk Minimization with Relative Entropy Regularization
por: Perlaza, Samir M., et al.
Publicado: (2022)

Precise Asymptotics for Spectral Methods in Mixed Generalized Linear Models
por: Zhang, Yihan, et al.
Publicado: (2022)

Fine-Grained Uncertainty Quantification via Collisions
por: Friedbaum, Jesse, et al.
Publicado: (2024)

Efficient Sampling with Discrete Diffusion Models: Sharp and Adaptive Guarantees
por: Dmitriev, Daniil, et al.
Publicado: (2026)

Efficient Unbiased Sparsification
por: Barnes, Leighton, et al.
Publicado: (2024)

Sample efficient inductive matrix completion with noise and inexact side information
por: Yang, Yuepeng, et al.
Publicado: (2026)

Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions
por: Zhang, Kaihong, et al.
Publicado: (2024)

Top-$K$ ranking with a monotone adversary
por: Yang, Yuepeng, et al.
Publicado: (2024)

Orthogonal Approximate Message Passing with Optimal Spectral Initializations for Rectangular Spiked Matrix Models
por: Chen, Haohua, et al.
Publicado: (2025)

Decoupled Descent: Exact Test Error Tracking Via Approximate Message Passing
por: Lovig, Max
Publicado: (2026)

On Robust Hypothesis Testing with respect to the Hellinger Distance
por: Modak, Eeshan, et al.
Publicado: (2025)

Order-Optimal Sequential 1-Bit Mean Estimation in General Tail Regimes
por: Lau, Ivan, et al.
Publicado: (2026)

On the sample complexity of parameter estimation in logistic regression with normal design
por: Hsu, Daniel, et al.
Publicado: (2023)

Distribution free M-estimation
por: Areces, Felipe, et al.
Publicado: (2025)

Diffusion Models Are Statistically Optimal for Learning Low-Dimensional Multi-Modal Distributions
por: Wu, Jingda, et al.
Publicado: (2026)

Representatividad Muestral en la Incertidumbre Simétrica Multivariada para la Selección de Atributos
por: Sosa-Cabrera, Gustavo
Publicado: (2024)

Statistical Mean Estimation with Coded Relayed Observations
por: Ling, Yan Hao, et al.
Publicado: (2025)

On the best approximation by finite Gaussian mixtures
por: Ma, Yun, et al.
Publicado: (2024)

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