Cover Image

Non-linear Welfare-Aware Strategic Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xie, Tian, Zhang, Xueru
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions
by: Xie, Tian, et al.
Published: (2024)

How Strategic Agents Respond: Comparing Analytical Models with LLM-Generated Responses in Strategic Classification
by: Xie, Tian, et al.
Published: (2025)

Addressing Polarization and Unfairness in Performative Prediction
by: Jin, Kun, et al.
Published: (2024)

Lookahead Counterfactual Fairness
by: Zuo, Zhiqun, et al.
Published: (2024)

When and How Human Curation Backfires: Preference Alignment under Multi-Model Self-Consuming Loop
by: Zhang, Yang, et al.
Published: (2026)

Learning under Imitative Strategic Behavior with Unforeseeable Outcomes
by: Xie, Tian, et al.
Published: (2024)

Market Games for Generative Models: Equilibria, Welfare, and Strategic Entry
by: Wei, Xiukun, et al.
Published: (2026)

Mode-Aware Non-Linear Tucker Autoencoder for Tensor-based Unsupervised Learning
by: Zheng, Junjing, et al.
Published: (2025)

The Spectral Bias of Shallow Neural Network Learning is Shaped by the Choice of Non-linearity
by: Sahs, Justin, et al.
Published: (2025)

Welfare and Fairness in Multi-objective Reinforcement Learning
by: Fan, Zimeng, et al.
Published: (2022)

BD-Merging: Bias-Aware Dynamic Model Merging with Evidence-Guided Contrastive Learning
by: Xie, Yuhan, et al.
Published: (2026)

A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points
by: Liu, Zihe, et al.
Published: (2024)

Tracking Drift: Variation-Aware Entropy Scheduling for Non-Stationary Reinforcement Learning
by: Wang, Tongxi, et al.
Published: (2026)

Learning Spatio-Temporal Dynamics for Trajectory Recovery via Time-Aware Transformer
by: Sun, Tian, et al.
Published: (2025)

Heterogeneity-Aware Coordination for Federated Learning via Stitching Pre-trained blocks
by: Zhan, Shichen, et al.
Published: (2024)

ParMod: A Parallel and Modular Framework for Learning Non-Markovian Tasks
by: Miao, Ruixuan, et al.
Published: (2024)

On the Rate of Convergence of GD in Non-linear Neural Networks: An Adversarial Robustness Perspective
by: Smorodinsky, Guy, et al.
Published: (2026)

Strategic Over-Parameterization for Generalizable Low-Rank Adaptation
by: Gao, Jing, et al.
Published: (2026)

Individual Fairness In Strategic Classification
by: Zuo, Zhiqun, et al.
Published: (2026)

Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model
by: Niu, Peisong, et al.
Published: (2025)

Achieving Collective Welfare in Multi-Agent Reinforcement Learning via Suggestion Sharing
by: Jin, Yue, et al.
Published: (2024)

Welfare as a Guiding Principle for Machine Learning -- From Compass, to Lens, to Roadmap
by: Rosenfeld, Nir, et al.
Published: (2025)

Topology-Aware and Highly Generalizable Deep Reinforcement Learning for Efficient Retrieval in Multi-Deep Storage Systems
by: Li, Funing, et al.
Published: (2025)

Event-Aware Prompt Learning for Dynamic Graphs
by: Yu, Xingtong, et al.
Published: (2025)

From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
by: Bouniot, Quentin, et al.
Published: (2023)

CALM: Consensus-Aware Localized Merging for Multi-Task Learning
by: Yan, Kunda, et al.
Published: (2025)

Non-linear Interventions on Large Language Models
by: Kim, Sangwoo
Published: (2026)

Operator-Guided Invariance Learning for Continuous Reinforcement Learning
by: Zhang, Zuyuan, et al.
Published: (2026)

Learning Non-Vacuous Generalization Bounds from Optimization
by: Tan, Chengli, et al.
Published: (2022)

Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection
by: Zhang, Xinchen, et al.
Published: (2024)

EventTSF: Event-Aware Non-Stationary Time Series Forecasting
by: Ge, Yunfeng, et al.
Published: (2025)

Denoising-Aware Contrastive Learning for Noisy Time Series
by: Zhou, Shuang, et al.
Published: (2024)

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data
by: Tang, Jianheng, et al.
Published: (2025)

Welfare-Centric Clustering
by: Zhang, Claire Jie, et al.
Published: (2025)

Knowledge-Aware Modeling with Frequency Adaptive Learning for Battery Health Prognostics
by: Pamshetti, Vijay Babu, et al.
Published: (2025)

Evaluation-Aware Reinforcement Learning
by: Deshmukh, Shripad Vilasrao, et al.
Published: (2025)

A Dual-Agent Adversarial Framework for Robust Generalization in Deep Reinforcement Learning
by: Xie, Zhengpeng, et al.
Published: (2025)

MultiConfederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning
by: Duchesne, Michael, et al.
Published: (2024)

FedSSG: Expectation-Gated and History-Aware Drift Alignment for Federated Learning
by: Zhou, Zhanting, et al.
Published: (2025)

Deploying Models to Non-participating Clients in Federated Learning without Fine-tuning: A Hypernetwork-based Approach
by: Zhou, Yuhao, et al.
Published: (2025)