:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zeng, Yi, Yang, Xuelin, Chen, Li, Ferrer, Cristian Canton, Jin, Ming, Jordan, Michael I., Jia, Ruoxi
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2406.07029
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms
by: Mittal, Surbhi, et al.
Published: (2023)

Expert Merging in Sparse Mixture of Experts with Nash Bargaining
by: Nguyen, Dung V., et al.
Published: (2025)

Dimension-free Private Mean Estimation for Anisotropic Distributions
by: Dagan, Yuval, et al.
Published: (2024)

Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning
by: Li, Zun, et al.
Published: (2023)

Maximin Relative Improvement: Fair Learning as a Bargaining Problem
by: Han, Jiwoo, et al.
Published: (2026)

Memory-Induced Tool-Drift in LLM Agents
by: Dabas, Mahavir, et al.
Published: (2026)

Meta Additive Model: Interpretable Sparse Learning With Auto Weighting
by: Zhang, Xuelin, et al.
Published: (2026)

Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning
by: Dabas, Mahavir, et al.
Published: (2025)

Approximating Nash Equilibria in General-Sum Games via Meta-Learning
by: Sychrovský, David, et al.
Published: (2025)

Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness
by: Zhao, Chen, et al.
Published: (2024)

Cross-Validated Causal Inference: a Modern Method to Combine Experimental and Observational Data
by: Yang, Xuelin, et al.
Published: (2025)

Referee-Meta-Learning for Fast Adaptation of Locational Fairness
by: Chen, Weiye, et al.
Published: (2024)

SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models
by: Wang, Zhihao, et al.
Published: (2024)

Data-Centric Human Preference with Rationales for Direct Preference Alignment
by: Just, Hoang Anh, et al.
Published: (2024)

Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs
by: Sel, Bilgehan, et al.
Published: (2024)

The Statistical Fairness-Accuracy Frontier
by: Fallah, Alireza, et al.
Published: (2025)

Fairness May Backfire: When Leveling-Down Occurs in Fair Machine Learning
by: Yang, Yi, et al.
Published: (2026)

The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes
by: Ko, Myeongseob, et al.
Published: (2024)

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

Probing Knowledge Holes in Unlearned LLMs
by: Ko, Myeongseob, et al.
Published: (2025)

DiPT: Enhancing LLM reasoning through diversified perspective-taking
by: Just, Hoang Anh, et al.
Published: (2024)

Fairness Aware Reinforcement Learning via Proximal Policy Optimization
by: La Malfa, Gabriele, et al.
Published: (2025)

Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?
by: He, Jianfeng, et al.
Published: (2024)

Uncertainty Quantification of Data Shapley via Statistical Inference
by: Wu, Mengmeng, et al.
Published: (2024)

FEED: Fairness-Enhanced Meta-Learning for Domain Generalization
by: Jiang, Kai, et al.
Published: (2024)

Fair Allocation in Dynamic Mechanism Design
by: Fallah, Alireza, et al.
Published: (2024)

Data Valuation and Selection in a Federated Model Marketplace
by: Li, Wenqian, et al.
Published: (2025)

Fairness-Aware Multi-view Evidential Learning with Adaptive Prior
by: Chen, Haishun, et al.
Published: (2025)

Tractable Uncertainty-Aware Meta-Learning
by: Park, Young-Jin, et al.
Published: (2022)

TUNI: A Textual Unimodal Detector for Identity Inference in CLIP Models
by: Li, Songze, et al.
Published: (2024)

Independent Learning of Nash Equilibria in Partially Observable Markov Potential Games with Decoupled Dynamics
by: Jordan, Philip, et al.
Published: (2026)

S2MAM: Semi-supervised Meta Additive Model for Robust Estimation and Variable Selection
by: Zhang, Xuelin, et al.
Published: (2026)

Fairness-Aware Streaming Feature Selection with Causal Graphs
by: Zhang, Leizhen, et al.
Published: (2024)

No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes
by: Han, Minbiao, et al.
Published: (2024)

Collaborative Heterogeneous Causal Inference Beyond Meta-analysis
by: Guo, Tianyu, et al.
Published: (2024)

Scalable Utility-Aware Multiclass Calibration
by: Hegazy, Mahmoud, et al.
Published: (2025)

A Benchmark for Fairness-Aware Graph Learning
by: Dong, Yushun, et al.
Published: (2024)

Multi-User Dueling Bandits: A Fair Approach using Nash Social Welfare
by: Ahmed, Maheed H., et al.
Published: (2026)

Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion
by: Alchihabi, Abdullah, et al.
Published: (2024)

Automated Red Teaming with GOAT: the Generative Offensive Agent Tester
by: Pavlova, Maya, et al.
Published: (2024)