Cover Image

Efficient Decision Trees for Tensor Regressions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Luo, Hengrui, Horiguchi, Akira, Ma, Li
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Methodology 62G08, 15A69 G.3
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Retrospective Counterfactual Prediction by Conditioning on the Factual Outcome: A Cross-World Approach
by: Bodik, Juraj
Published: (2026)

Computationally efficient multi-level Gaussian process regression for functional data observed under completely or partially regular sampling designs
by: Hoffmann, Adam Gorm, et al.
Published: (2024)

Scalable Gaussian process inference via neural feature maps
by: Stephenson, Anthony
Published: (2026)

Out-of-bag prediction balls for random forests in metric spaces
by: Serrano, Diego, et al.
Published: (2025)

CRPS-Optimal Binning for Univariate Conformal Regression
by: Toccaceli, Paolo
Published: (2026)

Local Quasi-Exponential Growth Models: Kernel Differential Equation Regression and Sparse Data
by: Ge, Chunlei, et al.
Published: (2025)

Structure-Preserving Nonlinear Sufficient Dimension Reduction for Tensors
by: Lin, Dianjun, et al.
Published: (2025)

Efficient Estimation of the Central Mean Subspace via Smoothed Gradient Outer Products
by: Yuan, Gan, et al.
Published: (2023)

Nonparametric Empirical Bayes Estimation on Heterogeneous Data
by: Banerjee, Trambak, et al.
Published: (2020)

Higher Partials of fStress
by: de Leeuw, Jan
Published: (2024)

Deep Regression for Repeated Measurements under Covariate Shift
by: Wang, Yingxuan, et al.
Published: (2026)

Minimax And Adaptive Transfer Learning for Nonparametric Classification under Distributed Differential Privacy Constraints
by: Auddy, Arnab, et al.
Published: (2024)

Factor Informed Double Deep Learning For Average Treatment Effect Estimation
by: Fan, Jianqing, et al.
Published: (2025)

From Conditional to Unconditional Independence: Testing Conditional Independence via Transport Maps
by: He, Chenxuan, et al.
Published: (2025)

Localizing differences in smooths with simultaneous confidence bounds on the true discovery proportion
by: Swanson, David
Published: (2020)

Rolling-Origin Conformal Prediction under Local Stationarity and Weak Dependence
by: Halkiewicz, Stanisław M. S.
Published: (2026)

Probit Monotone BART
by: Fisher, Jared D.
Published: (2025)

Estimation and Uniform Inference in Sparse High-Dimensional Additive Models
by: Bach, Philipp, et al.
Published: (2020)

Functional Estimation of the Marginal Likelihood
by: Papaspiliopoulos, Omiros, et al.
Published: (2026)

Going NUTS with ADVI: Exploring various Bayesian Inference techniques with Facebook Prophet
by: Krajevski, Jovan, et al.
Published: (2026)

Analyzing directional errors in spatial orientation using nonparametric circular regression with mixed covariates
by: Francisco-Fernández, Mario, et al.
Published: (2026)

Conditionality principle under unconstrained randomness
by: Vovk, Vladimir
Published: (2024)

Vecchia Gaussian Processes: on probabilistic and statistical properties
by: Szabo, Botond, et al.
Published: (2024)

Kernel-based estimators for functional causal effects
by: Raykov, Yordan P., et al.
Published: (2025)

Factor Augmented Quantile Regression Model
by: Wei, Xiaoyang, et al.
Published: (2025)

Conditional Outcome Equivalence: A Quantile Alternative to CATE
by: Givens, Josh, et al.
Published: (2024)

Variance-Reduced Manifold Sampling via Polynomial-Maximization Density Estimation
by: Zabolotnii, Serhii
Published: (2026)

Inference with Mondrian Random Forests
by: Cattaneo, Matias D., et al.
Published: (2023)

A Decision Analysis Framework for High-fidelity and Low-fidelity Systems with Applications in Manufacturing Processes
by: Zhang, Fan, et al.
Published: (2026)

A $k$NN procedure in semiparametric functional data analysis
by: Novo, Silvia, et al.
Published: (2024)

Empowering Multi-class Classification for Multivariate Functional Data with Simultaneous Feature Selection
by: Wang, Shuoyang, et al.
Published: (2025)

Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning
by: Gu, Yihong, et al.
Published: (2024)

CINDES: Classification induced neural density estimator and simulator
by: Dai, Dehao, et al.
Published: (2025)

Calibrated Counterfactual Conformal Fairness ($C^3F$): Post-hoc, Shift-Aware Coverage Parity via Conformal Prediction and Counterfactual Regularization
by: Alpay, Faruk, et al.
Published: (2025)

Empirical Decision Theory
by: Jansen, Christoph, et al.
Published: (2025)

Functional Partial Least-Squares: Adaptive Estimation and Inference
by: Babii, Andrii, et al.
Published: (2024)

Semi-functional partial linear regression with measurement error: An approach based on $k$NN estimation
by: Novo, Silvia, et al.
Published: (2024)

Totally Concave Regression
by: Ki, Dohyeong, et al.
Published: (2025)

Adaptive Kernel Regression for Constrained Route Alignment: Theory and Iterative Data Sharpening
by: Du, Shiyin, et al.
Published: (2026)

Bias-Corrected Adaptive Conformal Inference for Multi-Horizon Time Series Forecasting
by: Lade, Ankit, et al.
Published: (2026)