:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Cohen, Dan Tsir, Kontorovich, Aryeh
Formato:	Preprint
Publicado:	2022
Materias:	Machine Learning
Acceso en línea:	https://arxiv.org/abs/2202.03045
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Realizable Bayes-Consistency for General Metric Losses
por: Cohen, Dan Tsir, et al.
Publicado: (2026)

Improved Distribution Estimation in $\ell_\infty$
por: Cohen, Doron, et al.
Publicado: (2026)

The Empirical Mean is Minimax Optimal for Local Glivenko-Cantelli
por: Cohen, Doron, et al.
Publicado: (2024)

ParallelTime: Dynamically Weighting the Balance of Short- and Long-Term Temporal Dependencies
por: Katav, Itay, et al.
Publicado: (2025)

Distribution Estimation under the Infinity Norm
por: Kontorovich, Aryeh, et al.
Publicado: (2024)

Sharp bounds on aggregate expert error
por: Kontorovich, Aryeh, et al.
Publicado: (2024)

A Fine-Grained Understanding of Uniform Convergence for Halfspaces
por: Kontorovich, Aryeh, et al.
Publicado: (2026)

Efficient Agnostic Learning with Average Smoothness
por: Hanneke, Steve, et al.
Publicado: (2023)

Agnostic Sample Compression Schemes for Regression
por: Attias, Idan, et al.
Publicado: (2018)

On the tensorization of the variational distance
por: Kontorovich, Aryeh
Publicado: (2024)

A homogenization principle for total variation
por: Kontorovich, Aryeh
Publicado: (2026)

Decoupling Maximal Inequalities
por: Kontorovich, Aryeh
Publicado: (2023)

TV homogenization inequalities
por: Kontorovich, Aryeh
Publicado: (2026)

Correlated Binomial Process
por: Blanchard, Moïse, et al.
Publicado: (2024)

Metric space valued Fréchet regression
por: Györfi, László, et al.
Publicado: (2026)

Bounded variation separates weak and strong average Lipschitz
por: Elperin, Ariel, et al.
Publicado: (2025)

Representation Learning on a Random Lattice
por: Brill, Aryeh
Publicado: (2025)

TV over Bernoulli products: the small parameter regime
por: Avital, Ariel, et al.
Publicado: (2026)

Fast approximative estimation of conditional Shapley values when using a linear regression model or a polynomial regression model
por: Aanes, Fredrik Lohne
Publicado: (2025)

Discovery and inference beyond linearity by integrating Bayesian regression, tree ensembles and Shapley values
por: Spadaccini, Giorgio, et al.
Publicado: (2025)

Exact expressions for the maximal probability that all $k$-wise independent bits are 1
por: Berend, Daniel, et al.
Publicado: (2024)

Fréchet random forests for metric space valued regression with non euclidean predictors
por: Capitaine, Louis, et al.
Publicado: (2019)

A feature selection method based on Shapley values robust to concept shift in regression
por: Sebastián, Carlos, et al.
Publicado: (2023)

Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design
por: Regenwetter, Lyle, et al.
Publicado: (2023)

Metric Embeddings Beyond Bi-Lipschitz Distortion via Sherali-Adams
por: Bakshi, Ainesh, et al.
Publicado: (2023)

Derivative-based regularization for regression
por: Lopedoto, Enrico, et al.
Publicado: (2024)

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks
por: Shoham, Elad, et al.
Publicado: (2024)

Comparison of decision trees with Local Interpretable Model-Agnostic Explanations (LIME) technique and multi-linear regression for explaining support vector regression model in terms of root mean square error (RMSE) values
por: Thombre, Amit
Publicado: (2024)

Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data
por: Dempster, Angus, et al.
Publicado: (2024)

A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression
por: Kim, Youngseok, et al.
Publicado: (2022)

Countering adversarial evasion in regression analysis
por: Benfield, David, et al.
Publicado: (2025)

Conditional validity of heteroskedastic conformal regression
por: Dewolf, Nicolas, et al.
Publicado: (2023)

Conformal inference for regression on Riemannian Manifolds
por: Cholaquidis, Alejandro, et al.
Publicado: (2023)

Oblique Bayesian additive regression trees
por: Nguyen, Paul-Hieu V., et al.
Publicado: (2024)

Valid prediction intervals for regression problems
por: Dewolf, Nicolas, et al.
Publicado: (2021)

Network-based Neighborhood regression
por: Zhen, Yaoming, et al.
Publicado: (2024)

Progression: an extrapolation principle for regression
por: Buriticá, Gloria, et al.
Publicado: (2024)

Metric Design != Metric Behavior: Improving Metric Selection for the Unbiased Evaluation of Dimensionality Reduction
por: Bae, Jiyeon, et al.
Publicado: (2025)

Efficient Data Selection at Scale via Influence Distillation
por: Nikdan, Mahdi, et al.
Publicado: (2025)

Degeneration of kernel regression with Matern kernels into low-order polynomial regression in high dimension
por: Manzhos, Sergei, et al.
Publicado: (2023)