:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sabug Jr., Lorenzo, Kerrigan, Eric
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control Machine Learning 62J02, 62G08
Online Access:	https://arxiv.org/abs/2512.13217
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Variable Selection for Additive Global Fréchet Regression
by: Yang, Haoyi, et al.
Published: (2025)

Handling Missing Data in Probabilistic Regression Trees: Methods and Implementation in R
by: Prass, Taiane Schaedler, et al.
Published: (2025)

Regression and Dimension Reduction for Multivariate Mixed-Type Data via Semiparametric Gaussian Copula
by: Dey, Debangan, et al.
Published: (2022)

Optimised Support Vector Regression for California Housing Price Prediction: The Critical Role of Feature Engineering and Hyperparameter Tuning
by: Adutwum, Emmanuel
Published: (2026)

Maximum smoothed likelihood method for the combination of multiple diagnostic tests, with application to the ROC estimation
by: Zheng, Fangyong, et al.
Published: (2026)

Alternating Minimization for Regression with Tropical Rational Functions
by: Dunbar, Alex, et al.
Published: (2023)

Debiased inference in error-in-variable problems with non-Gaussian measurement error
by: Woolsey, Nicholas W., et al.
Published: (2025)

Enhancing Visual Interpretability and Explainability in Functional Survival Trees and Forests
by: Loffredo, Giuseppe, et al.
Published: (2025)

New copula families and mixing properties
by: Longla, Martial
Published: (2023)

Counting on count regression: overlooked aspects of the Negative Binomial specification
by: Settanni, Ettore
Published: (2024)

Beyond Least Squares: Robust Regression Transformer (R2T)
by: Gutierrez, Roman, et al.
Published: (2025)

Identifiable Convex-Concave Regression via Sub-gradient Regularised Least Squares
by: Chung, William
Published: (2025)

Higher order measures of risk and stochastic dominance
by: Pichler, Alois
Published: (2024)

Machine Collaboration
by: Liu, Qingfeng, et al.
Published: (2021)

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

Quantile Additive Trend Filtering
by: Zhang, Zhi, et al.
Published: (2023)

Coordinate Descent for SLOPE
by: Larsson, Johan, et al.
Published: (2022)

Regularized least squares learning with heavy-tailed noise is minimax optimal
by: Mollenhauer, Mattes, et al.
Published: (2025)

Branch and Bound to Assess Stability of Regression Coefficients in Uncertain Models
by: Knaeble, Brian, et al.
Published: (2024)

GeMA: Learning Latent Manifold Frontiers for Benchmarking Complex Systems
by: Li, Jia Ming, et al.
Published: (2026)

Wasserstein Distributionally Robust Nonparametric Regression
by: Liu, Changyu, et al.
Published: (2025)

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

Weighted mesh algorithms for general Markov decision processes: Convergence and tractability
by: Belomestny, Denis, et al.
Published: (2024)

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

Diagonal Linear Networks and the Lasso Regularization Path
by: Berthier, Raphaël
Published: (2025)

Local Fréchet regression with toroidal predictors
by: Im, Chang Jun, et al.
Published: (2026)

On Regression in Extreme Regions
by: Clémençon, Stephan, et al.
Published: (2023)

Spectral Bayesian Regression on the Sphere
by: Durastanti, Claudio
Published: (2026)

Model Assessment and Selection under Temporal Distribution Shift
by: Han, Elise, et al.
Published: (2024)

On robust recovery of signals from indirect observations
by: Bekri, Yannis, et al.
Published: (2025)

Semi-Supervised Deep Sobolev Regression: Estimation and Variable Selection by ReQU Neural Network
by: Ding, Zhao, et al.
Published: (2024)

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

An Efficient Approach to Regression Problems with Tensor Neural Networks
by: Li, Yongxin, et al.
Published: (2024)

Estimation of the Risk Measure under a Nuisance Autoregression
by: Jurečková, Jana, et al.
Published: (2026)

Efficient global estimation of conditional-value-at-risk through stochastic kriging and extreme value theory
by: Khayyer, Armin, et al.
Published: (2024)

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

Constructive interpolation and generalization rates for neural ODEs: a control perspective
by: Álvarez-López, Antonio, et al.
Published: (2026)

Automatic Debiased Machine Learning via Riesz Regression
by: Chernozhukov, Victor, et al.
Published: (2021)

Trend Filtered Mixture of Experts for Automated Gating of High-Frequency Flow Cytometry Data
by: Hyun, Sangwon, et al.
Published: (2025)

Deep Neural Networks for Doubly Robust Estimation with Nonprobability Survey Samples
by: Dai, Yufang, et al.
Published: (2026)