:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Wolf, Elise
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2510.27001
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fair Algorithms with Probing for Multi-Agent Multi-Armed Bandits
by: Xu, Tianyi, et al.
Published: (2025)

Variance-Dependent Regret Lower Bounds for Contextual Bandits
by: He, Jiafan, et al.
Published: (2025)

Variance-Dependent Regret Bounds for Non-stationary Linear Bandits
by: Wang, Zhiyong, et al.
Published: (2024)

BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms
by: Hou, Yunlong, et al.
Published: (2025)

Quantifying Variance in Evaluation Benchmarks
by: Madaan, Lovish, et al.
Published: (2024)

Understanding Fairness Surrogate Functions in Algorithmic Fairness
by: Yao, Wei, et al.
Published: (2023)

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs
by: Wang, Yinong Oliver, et al.
Published: (2025)

FAST-CAD: A Fairness-Aware Framework for Non-Contact Stroke Diagnosis
by: Sha, Tommy, et al.
Published: (2025)

FASE : A Fairness-Aware Spatiotemporal Event Graph Framework for Predictive Policing
by: Barman, Pronob Kumar, et al.
Published: (2026)

Evaluating Causal Discovery Algorithms for Path-Specific Fairness and Utility in Healthcare
by: Nagesh, Nitish, et al.
Published: (2026)

Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification
by: Cooper, A. Feder, et al.
Published: (2023)

Anomaly Detection with Variance Stabilized Density Estimation
by: Rozner, Amit, et al.
Published: (2023)

Fairness Aware Reward Optimization
by: Choi, Ching Lam, et al.
Published: (2026)

The Vizier Gaussian Process Bandit Algorithm
by: Song, Xingyou, et al.
Published: (2024)

Provable Anytime Ensemble Sampling Algorithms in Nonlinear Contextual Bandits
by: Sun, Jiazheng, et al.
Published: (2025)

COBRA: Contextual Bandit Algorithm for Ensuring Truthful Strategic Agents
by: Verma, Arun, et al.
Published: (2025)

FERI: A Multitask-based Fairness Achieving Algorithm with Applications to Fair Organ Transplantation
by: Li, Can, et al.
Published: (2023)

OxonFair: A Flexible Toolkit for Algorithmic Fairness
by: Delaney, Eoin, et al.
Published: (2024)

AFed: Algorithmic Fair Federated Learning
by: Chen, Huiqiang, et al.
Published: (2025)

FairTTTS: A Tree Test Time Simulation Method for Fairness-Aware Classification
by: Cohen-Inger, Nurit, et al.
Published: (2025)

Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization
by: Luis, Carlos E., et al.
Published: (2023)

Fairness-Aware Reinforcement Learning (FAReL): A Framework for Transparent and Balanced Sequential Decision-Making
by: Cimpean, Alexandra, et al.
Published: (2025)

FairSAM: Fair Classification on Corrupted Data Through Sharpness-Aware Minimization
by: Dai, Yucong, et al.
Published: (2025)

FairAgent: Democratizing Fairness-Aware Machine Learning with LLM-Powered Agents
by: Dai, Yucong, et al.
Published: (2025)

Continuous Fair SMOTE -- Fairness-Aware Stream Learning from Imbalanced Data
by: Lammers, Kathrin, et al.
Published: (2025)

Procedural Fairness in Multi-Agent Bandits
by: Caiata, Joshua, et al.
Published: (2026)

Aggregating Concepts of Fairness and Accuracy in Prediction Algorithms
by: Kinney, David
Published: (2025)

Variance-Aware Prior-Based Tree Policies for Monte Carlo Tree Search
by: Weichart, Maximilian
Published: (2025)

Meritocratic Fairness in Budgeted Combinatorial Multi-armed Bandits via Shapley Values
by: Sharma, Shradha, et al.
Published: (2026)

DAFA: Distance-Aware Fair Adversarial Training
by: Lee, Hyungyu, et al.
Published: (2024)

A Finite-Sample Analysis of an Actor-Critic Algorithm for Mean-Variance Optimization in a Discounted MDP
by: Sangadi, Tejaram, et al.
Published: (2024)

DISCO: An End-to-End Bandit Framework for Personalised Discount Allocation
by: Zhang, Jason Shuo, et al.
Published: (2024)

Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits
by: Shimizu, Tatsuhiro, et al.
Published: (2024)

Contextual Bandit with Herding Effects: Algorithms and Recommendation Applications
by: Xu, Luyue, et al.
Published: (2024)

Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate Drift
by: Deho, Oscar Blessed, et al.
Published: (2024)

Beyond Variance: Knowledge-Aware LLM Compression via Fisher-Aligned Subspace Diagnostics
by: Shihab, Ibne Farabi, et al.
Published: (2026)

Low Variance Off-policy Evaluation with State-based Importance Sampling
by: Bossens, David M., et al.
Published: (2022)

FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation
by: Heilmann, Xenia, et al.
Published: (2025)

PFGuard: A Generative Framework with Privacy and Fairness Safeguards
by: Kim, Soyeon, et al.
Published: (2024)

Mobility-Aware Federated Learning: Multi-Armed Bandit Based Selection in Vehicular Network
by: Tu, Haoyu, et al.
Published: (2024)