Cover Image

When to Transfer: Adaptive Source Selection for Positive Transfer in Linear Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cherkaoui, Hamza, Halconruy, Hélène, Petetin, Yohan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Other Statistics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Tessellation Localized Transfer learning for nonparametric regression
by: Halconruy, Hélène, et al.
Published: (2026)

Deep Learning-based Approaches for State Space Models: A Selective Review
by: Lin, Jiahe, et al.
Published: (2024)

Noncommutative Model Selection for Data Clustering and Dimension Reduction Using Relative von Neumann Entropy
by: Guzmán-Tristán, Araceli, et al.
Published: (2024)

Adaptive Conformal Prediction for Quantum Machine Learning
by: Spencer, Douglas, et al.
Published: (2025)

Do Heavy Tails Help Diffusion? On the Subtle Trade-off Between Initialization and Training
by: Cherkaoui, Hamza, et al.
Published: (2026)

Adaptive Off-Policy Inference for M-Estimators Under Model Misspecification
by: Leiner, James, et al.
Published: (2025)

Heckman Selection Contaminated Normal Model
by: Lim, Heeju, et al.
Published: (2024)

Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction
by: Jiang, Xinke, et al.
Published: (2023)

Subgroup Validity in Machine Learning for Echocardiogram Data
by: Feeney, Cynthia, et al.
Published: (2025)

Generative AI Takes a Statistics Exam: A Comparison of Performance between ChatGPT3.5, ChatGPT4, and ChatGPT4o-mini
by: McGee, Monnie, et al.
Published: (2025)

A Generalized Theory of Mixup for Structure-Preserving Synthetic Data
by: Lee, Chungpa, et al.
Published: (2025)

A Plea for History and Philosophy of Statistics and Machine Learning
by: Lin, Hanti
Published: (2025)

Local Polynomial Lp-norm Regression
by: Tazik, Ladan, et al.
Published: (2025)

Utilising Deep Learning to Elicit Expert Uncertainty
by: Falconer, Julia R., et al.
Published: (2025)

Ensemble Transport Filter via Optimized Maximum Mean Discrepancy
by: Zeng, Dengfei, et al.
Published: (2024)

Piecewise Deterministic Markov Processes for Bayesian Neural Networks
by: Goan, Ethan, et al.
Published: (2023)

Are you using test log-likelihood correctly?
by: Deshpande, Sameer K., et al.
Published: (2022)

Active Learning for Fair and Stable Online Allocations
by: Bhattacharya, Riddhiman, et al.
Published: (2024)

TabCF: Distributional Control Function Estimation with Tabular Foundation Models
by: Chen, Geping, et al.
Published: (2026)

Variational Autoencoders-based Detection of Extremes in Plant Productivity in an Earth System Model
by: Sharma, Bharat, et al.
Published: (2025)

A Simplified and Numerically Stable Approach to the BG/NBD Churn Prediction model
by: Zammit, Dylan, et al.
Published: (2025)

Valid Selection among Conformal Sets
by: Hegazy, Mahmoud, et al.
Published: (2025)

The cost of ensembling: is it always worth combining?
by: Zanotti, Marco
Published: (2025)

Gaussian credible intervals in Bayesian nonparametric estimation of the unseen
by: Contardi, Claudia, et al.
Published: (2025)

Asia Cup 2025: A Structured T20 Match-Level Dataset and Exploratory Analysis for Cricket Analytics
by: Raza, Kousar, et al.
Published: (2025)

On the retraining frequency of global models in retail demand forecasting
by: Zanotti, Marco
Published: (2025)

A machine learning approach to predict university enrolment choices through students' high school background in Italy
by: Priulla, Andrea, et al.
Published: (2024)

Scientific Realism vs. Anti-Realism: Toward a Common Ground
by: Lin, Hanti
Published: (2024)

Unified Inductive Logic: From Formal Learning to Statistical Inference to Supervised Learning
by: Lin, Hanti
Published: (2024)

Extrapolating Single-Treatment Effects Out of Factorial Experiments
by: Duarte, Guilherme
Published: (2024)

Exact and Approximate Conformal Inference for Multi-Output Regression
by: Johnstone, Chancellor, et al.
Published: (2022)

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach
by: Reboul, Sebastian, et al.
Published: (2025)

Transfer Learning for High Dimensional Robust Regression
by: Yuan, Xiaohui, et al.
Published: (2024)

Robust Causal Discovery in Real-World Time Series with Power-Laws
by: Tusoni, Matteo, et al.
Published: (2025)

Adaptive Bi-Level Variable Selection of Conditional Main Effects for Generalized Linear Models
by: Xie, Kexin, et al.
Published: (2026)

Topography, climate, land cover, and biodiversity: Explaining endemic richness and management implications on a Mediterranean island
by: Moustakas, Aristides, et al.
Published: (2025)

Robustness Test for AI Forecasting of Hurricane Florence Using FourCastNetv2 and Random Perturbations of the Initial Condition
by: Lizerbram, Adam, et al.
Published: (2025)

Identifying and Estimating Causal Direct Effects Under Unmeasured Confounding
by: Boileau, Philippe, et al.
Published: (2026)

Phase-Type Variational Autoencoders for Heavy-Tailed Data
by: Ziani, Abdelhakim, et al.
Published: (2026)

Identification of physiological shock in intensive care units via Bayesian regime switching models
by: Kendall, Emmett B., et al.
Published: (2026)