:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Abu-Shaira, Mohammad, Shi, Weishi
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2512.12787
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Online Domain-aware LLM Decoding for Continual Domain Evolution
by: Abu-Shaira, Mohammad, et al.
Published: (2026)

DAO-GP Drift Aware Online Non-Linear Regression Gaussian-Process
by: Abu-Shaira, Mohammad, et al.
Published: (2025)

OLC-WA: Drift Aware Tuning-Free Online Classification with Weighted Average
by: Shaira, Mohammad Abu, et al.
Published: (2025)

OLR-WAA: Adaptive and Drift-Resilient Online Regression with Dynamic Weighted Averaging
by: Abu-Shaira, Mohammad, et al.
Published: (2025)

OLR-WA: Online Weighted Average Linear Regression in Multivariate Data Streams
by: Abu-Shaira, Mohammad, et al.
Published: (2025)

Imbalance in Regression Datasets
by: Kowatsch, Daniel, et al.
Published: (2024)

Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning
by: Park, Junseok, et al.
Published: (2024)

Scaling Law Phenomena Across Regression Paradigms: Multiple and Kernel Approaches
by: Chen, Yifang, et al.
Published: (2025)

Three-Phase Transformer
by: Ayyash, Mohammad R. Abu
Published: (2026)

Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations
by: Azizmalayeri, Mohammad, et al.
Published: (2024)

Optimal Learners for Realizable Regression: PAC Learning and Online Learning
by: Attias, Idan, et al.
Published: (2023)

Ranking over Regression for Bayesian Optimization and Molecule Selection
by: Tom, Gary, et al.
Published: (2024)

A Regret Perspective on Online Multiple Testing
by: Hao, Qingyang, et al.
Published: (2026)

Post-processing for Fair Regression via Explainable SVD
by: Zuo, Zhiqun, et al.
Published: (2025)

A Benchmark Dataset for Graph Regression with Homogeneous and Multi-Relational Variants
by: Samoaa, Peter, et al.
Published: (2025)

Efficient Benchmarking Is Just Feature Selection and Multiple Regression
by: Bowyer, Sam, et al.
Published: (2026)

Measuring and Mitigating Bias for Tabular Datasets with Multiple Protected Attributes
by: Duong, Manh Khoi, et al.
Published: (2024)

Missing Data Multiple Imputation for Tabular Q-Learning in Online RL
by: Chasalow, Kyla, et al.
Published: (2025)

Online Learning with Multiple Fairness Regularizers via Graph-Structured Feedback
by: Zhou, Quan, et al.
Published: (2025)

FAIREDU: A Multiple Regression-Based Method for Enhancing Fairness in Machine Learning Models for Educational Applications
by: Pham, Nga, et al.
Published: (2024)

AutoOR: Scalably Post-training LLMs to Autoformalize Operations Research Problems
by: Motwani, Sumeet Ramesh, et al.
Published: (2026)

A Predictive Model Based on Transformer with Statistical Feature Embedding in Manufacturing Sensor Dataset
by: Lee, Gyeong Taek, et al.
Published: (2024)

Unveiling the Statistical Foundations of Chain-of-Thought Prompting Methods
by: Hu, Xinyang, et al.
Published: (2024)

Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs
by: Xu, Kaiwen, et al.
Published: (2023)

Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings
by: Seong, Jihyeon, et al.
Published: (2024)

Android Coach: Improve Online Agentic Training Efficiency with Single State Multiple Actions
by: Gan, Guo, et al.
Published: (2026)

ISR: Invertible Symbolic Regression
by: Tohme, Tony, et al.
Published: (2024)

Full Bayesian Significance Testing for Neural Networks
by: Liu, Zehua, et al.
Published: (2024)

RoBoN: Routed Online Best-of-n for Test-Time Scaling with Multiple LLMs
by: Geuter, Jonathan, et al.
Published: (2025)

Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-Polarity Relationships with Hierarchical Symbolic Regression
by: Lou, Siyu, et al.
Published: (2024)

Explaining Datasets in Words: Statistical Models with Natural Language Parameters
by: Zhong, Ruiqi, et al.
Published: (2024)

A New View on Planning in Online Reinforcement Learning
by: Roice, Kevin, et al.
Published: (2024)

A Machine Learning Pipeline for Multiple Sclerosis Biomarker Discovery: Comparing explainable AI and Traditional Statistical Approaches
by: Punzo, Samuele, et al.
Published: (2025)

Reasoning Language Model Inference Serving Unveiled: An Empirical Study
by: Li, Qi, et al.
Published: (2025)

Online Reinforcement Learning in Non-Stationary Context-Driven Environments
by: Hamadanian, Pouya, et al.
Published: (2023)

Amplifying Pathological Detection in EEG Signaling Pathways through Cross-Dataset Transfer Learning
by: Darvishi-Bayazi, Mohammad-Javad, et al.
Published: (2023)

The Significance of Latent Data Divergence in Predicting System Degradation
by: Fernandes, Miguel, et al.
Published: (2024)

Beyond Covariance Matrix: The Statistical Complexity of Private Linear Regression
by: Chen, Fan, et al.
Published: (2025)

Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning
by: Zhang, Dechen, et al.
Published: (2025)

NASH: Neural Architecture and Accelerator Search for Multiplication-Reduced Hybrid Models
by: Xu, Yang, et al.
Published: (2024)