Cover Image

Making Multi-Axis Models Robust to Multiplicative Noise: How, and Why?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Andrew, Bailey, Westhead, David R., Cutillo, Luisa
Format:	Preprint
Published:	2026
Subjects:	Methodology Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Graphical Modelling without Independence Assumptions for Uncentered Data
by: Andrew, Bailey, et al.
Published: (2024)

GmGM: a Fast Multi-Axis Gaussian Graphical Model
by: Andrew, Bailey, et al.
Published: (2022)

Making Multi-Axis Gaussian Graphical Models Scalable to Millions of Cells
by: Andrew, Bailey, et al.
Published: (2024)

The Why and How of Convex Clustering
by: Chi, Eric C., et al.
Published: (2025)

Kernel Model Validation: How To Do It, And Why You Should Care
by: Graziani, Carlo, et al.
Published: (2025)

Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains
by: Wilkins-Reeves, Steven, et al.
Published: (2024)

Towards Identifiable Latent Additive Noise Models
by: Liu, Yuhang, et al.
Published: (2024)

Multi-Distribution Robust Conformal Prediction
by: Yang, Yuqi, et al.
Published: (2026)

Generalized Criterion for Identifiability of Additive Noise Models Using Majorization
by: Dallakyan, Aramayis, et al.
Published: (2024)

Identification of Average Causal Effects in Confounded Additive Noise Models
by: Elahi, Muhammad Qasim, et al.
Published: (2024)

Causal Discovery in Structural VAR Models Under Equal Noise Variance
by: HasanAbadi, SeyedSina Seyedi, et al.
Published: (2026)

On Multiple Robustness of Proximal Dynamic Treatment Regimes
by: Gao, Yuanshan, et al.
Published: (2025)

Distributionally Robust Learning for Multi-source Unsupervised Domain Adaptation
by: Wang, Zhenyu, et al.
Published: (2023)

Robust Multi-Source Domain Adaptation under Label Shift
by: Xu, Congbin, et al.
Published: (2025)

Multi-CATE: Multi-Accurate Conditional Average Treatment Effect Estimation Robust to Unknown Covariate Shifts
by: Kern, Christoph, et al.
Published: (2024)

Causal Decomposition Analysis with Synergistic Interventions: A Triply-Robust Machine Learning Approach to Addressing Multiple Dimensions of Social Disparities
by: Park, Soojin, et al.
Published: (2025)

Robust and Adaptive Spectral Method for Representation Multi-Task Learning with Contamination
by: Huang, Yian, et al.
Published: (2025)

A Randomized Permutation Whole-Model Test Heuristic for Self-Validated Ensemble Models (SVEM)
by: Karl, Andrew T.
Published: (2024)

Label Noise Robustness of Conformal Prediction
by: Einbinder, Bat-Sheva, et al.
Published: (2022)

Noise-Adaptive Conformal Classification with Marginal Coverage
by: Bortolotti, Teresa, et al.
Published: (2025)

MMCE: A Framework for Deep Monotonic Modeling of Multiple Causal Effects
by: Chen, Juhua, et al.
Published: (2025)

Optimal Model Selection for Conformalized Robust Optimization
by: Bao, Yajie, et al.
Published: (2025)

Robust Variable Selection and Estimation Via Adaptive Elastic Net S-Estimators for Linear Regression
by: Kepplinger, David
Published: (2021)

Actively Learning Joint Contours of Multiple Computer Experiments
by: Prim, Shih-Ni, et al.
Published: (2025)

rSDNet: Unified Robust Neural Learning against Label Noise and Adversarial Attacks
by: Jana, Suryasis, et al.
Published: (2026)

Multi-task Linear Regression without Eigenvalue Lower Bounds: Adaptivity, Robustness, and Safety
by: Kim, Seok-Jin
Published: (2026)

Causal Inference Isn't Special: Why It's Just Another Prediction Problem
by: Fernández-Loría, Carlos
Published: (2025)

Bayesian Multiplicity Correction in the Probabilistic Forward Stepwise Framework
by: Womack, Andrew, et al.
Published: (2026)

Introducing Flexible Monotone Multiple Choice Item Response Theory Models and Bit Scales
by: Wallmark, Joakim, et al.
Published: (2024)

Why do zeroes happen? A model-based approach for demand classification
by: Svetunkov, Ivan, et al.
Published: (2025)

Robust Learning of Heterogeneous Dynamic Systems
by: Xu, Shuoxun, et al.
Published: (2026)

Robust Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models
by: Tian, Ye, et al.
Published: (2022)

Causality-Inspired Robustness for Nonlinear Models via Representation Learning
by: Šola, Marin, et al.
Published: (2025)

Uncertainty Quantification With Multiple Sources
by: Ying, Mufang, et al.
Published: (2024)

Label Noise Cleaning for Supervised Classification via Bernoulli Random Sampling
by: Liu, Yuxin, et al.
Published: (2026)

A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery
by: Lin, Yingyu, et al.
Published: (2024)

Robust and Conjugate Spatio-Temporal Gaussian Processes
by: Laplante, William, et al.
Published: (2025)

Robust Inference of Dynamic Covariance Using Wishart Processes and Sequential Monte Carlo
by: Huijsdens, Hester, et al.
Published: (2024)

Active Multiple-Prediction-Powered Inference
by: Brawand, Nicholas, et al.
Published: (2026)

Synthetic Augmentation in Imbalanced Learning: When It Helps, When It Hurts, and How Much to Add
by: Ma, Zhengchi, et al.
Published: (2026)