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Bibliographic Details
Main Authors:	Xu, Wen, Dolatabadi, Elham
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2503.16836
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Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review
by: Raza, Shaina, et al.
Published: (2024)

DFedReweighting: A Unified Framework for Objective-Oriented Reweighting in Decentralized Federated Learning
by: Zhang, Kaichuang, et al.
Published: (2025)

FinP: Fairness-in-Privacy in Federated Learning by Addressing Disparities in Privacy Risk
by: Zhao, Tianyu, et al.
Published: (2025)

k-hop Fairness: Addressing Disparities in Graph Link Prediction Beyond First-Order Neighborhoods
by: Marey, Lilian, et al.
Published: (2026)

Individual Fairness Through Reweighting and Tuning
by: Mahamadou, Abdoul Jalil Djiberou, et al.
Published: (2024)

Adaptive Boosting with Fairness-aware Reweighting Technique for Fair Classification
by: Song, Xiaobin, et al.
Published: (2024)

Automated Capability Evaluation of Foundation Models
by: Afkanpour, Arash, et al.
Published: (2025)

Demystifying Diffusion Objectives: Reweighted Losses are Better Variational Bounds
by: Shi, Jiaxin, et al.
Published: (2025)

Fairness-aware PageRank via Edge Reweighting
by: Wang, Honglian, et al.
Published: (2025)

Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning
by: Yang, Puning, et al.
Published: (2025)

Addressing Information Loss and Interaction Collapse: A Dual Enhanced Attention Framework for Feature Interaction
by: Xu, Yi, et al.
Published: (2025)

Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule
by: Zhao, Xuan, et al.
Published: (2024)

IFFair: Influence Function-driven Sample Reweighting for Fair Classification
by: Yang, Jingran, et al.
Published: (2025)

Balancing Fairness, Privacy, and Accuracy: A Multitask Adversarial Framework for Centralized Data-Driven Systems
by: Ekanayake, Imesh, et al.
Published: (2026)

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

On the Maximal Local Disparity of Fairness-Aware Classifiers
by: Jin, Jinqiu, et al.
Published: (2024)

Alpha and Prejudice: Improving $α$-sized Worst-case Fairness via Intrinsic Reweighting
by: Li, Jing, et al.
Published: (2024)

FaLW: A Forgetting-aware Loss Reweighting for Long-tailed Unlearning
by: Yu, Liheng, et al.
Published: (2026)

An Explicit Surrogate for Gaussian Mixture Flow Matching with Wasserstein Gap Bounds
by: Rostami, Elham, et al.
Published: (2026)

On the Limits of Sparse Autoencoders: A Theoretical Framework and Reweighted Remedy
by: Cui, Jingyi, et al.
Published: (2025)

Explainable Disparity Compensation for Efficient Fair Ranking
by: Gale, Abraham, et al.
Published: (2023)

Consistency Conditions for Differentiable Surrogate Losses
by: Khurana, Drona, et al.
Published: (2025)

MAST: A Multi-fidelity Augmented Surrogate model via Spatial Trust-weighting
by: Nasr, Ahmed Mohamed Eisa, et al.
Published: (2026)

Prompt Fairness: Sub-group Disparities in LLMs
by: Zhong, Meiyu, et al.
Published: (2025)

Fairness in Ranking under Disparate Uncertainty
by: Rastogi, Richa, et al.
Published: (2023)

Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
by: Sow, Daouda, et al.
Published: (2025)

Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective
by: Phan, Hoang, et al.
Published: (2022)

Learning Differentiable Surrogate Losses for Structured Prediction
by: Yang, Junjie, et al.
Published: (2024)

Rethinking Loss Reweighting for Imbalance Learning as an Inverse Problem: A Neural Collapse Point of View
by: Wang, Jinping, et al.
Published: (2026)

A Universal Growth Rate for Learning with Smooth Surrogate Losses
by: Mao, Anqi, et al.
Published: (2024)

Fair Machine Learning for Healthcare Requires Recognizing the Intersectionality of Sociodemographic Factors, a Case Study
by: Valentine, Alissa A., et al.
Published: (2024)

Non-Stationary Online Structured Prediction with Surrogate Losses
by: Sakaue, Shinsaku, et al.
Published: (2025)

Information Loss and Disparate Effects in Network Embeddings
by: Chuang, Gabriel, et al.
Published: (2025)

Entropy Reweighted Conformal Classification
by: Luo, Rui, et al.
Published: (2024)

Fair Machine Unlearning: Data Removal while Mitigating Disparities
by: Oesterling, Alex, et al.
Published: (2023)

Minimax Optimal Fair Classification with Bounded Demographic Disparity
by: Zeng, Xianli, et al.
Published: (2024)

Private and Fair Machine Learning: Revisiting the Disparate Impact of Differentially Private SGD
by: Demelius, Lea, et al.
Published: (2025)

FedStaleWeight: Buffered Asynchronous Federated Learning with Fair Aggregation via Staleness Reweighting
by: Ma, Jeffrey, et al.
Published: (2024)

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

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// Anecdotal testing Today and Yesterday seems to indicate destroy() // is called by the garbage collector and everything is good. // Something to keep in mind though. return 0; } /** * Write function that is called when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ public function write($sessId, $data): bool { if ($this->writesDisabled) { return true; } return $this->saveSession($sessId, $data); } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ abstract protected function saveSession($sessId, $data): bool; }

* * @return void */ public function writeClose() { // The assumption is that we're using PHP's ext/session. // session_write_close() will actually overwrite $_SESSION with an // empty array on completion -- which leads to a mismatch between what // is in the storage object and $_SESSION. To get around this, we // temporarily reset $_SESSION to an array, and then re-link it to // the storage object. // // Additionally, while you _can_ write to $_SESSION following a // session_write_close() operation, no changes made to it will be // flushed to the session handler. As such, we now mark the storage // object isImmutable. $storage = $this->getStorage(); if (! $storage->isImmutable()) { $_SESSION = $storage->toArray(true); session_write_close(); $storage->fromArray($_SESSION); $storage->markImmutable(); } } /** * Attempt to set the session name * * If the session has already been started, or if the name provided fails * validation, an exception will be raised. * * @param string $name * @return SessionManager * @throws Exception\InvalidArgumentException */ public function setName($name) { if ($this->sessionExists()) { throw new Exception\InvalidArgumentException( 'Cannot set session name after a session has already started'

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