conftrace_

fairness optimization

28 papers

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Co-occurring keywords

multi-agent system (1819) resource allocation (251) algorithmic fairness (284) group fairness (158) fair allocation (73) social welfare (86) matching algorithm (42) online bipartite matching (6) rideshare platform (2) competitive analysis (53)

Papers

Knowledge-Based Stable Roommates Problems AAAI 2026
SAFO: Stable Adaptive Fairness Optimization for LLM-Based Social Survey Simulation ACL 2026
HAMLET4Fairness: Enhancing Fairness in AI Pipelines Through Human-Centered AutoML and Argumentation AAAI 2026
FAP-CD: Fairness-Driven Age-Friendly Community Planning via Conditional Diffusion Generation AAAI 2025
Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction CVPR 2025
LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning AAAI 2025
Operationalising Rawlsian Ethics for Fairness in Norm Learning Agents AAAI 2025
Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions NIPS 2024
Towards Fairness in Online Service with K Servers and Its Application on Fair Food Delivery AAAI 2024
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency AAAI 2024
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior NIPS 2024
No-Regret Learning for Fair Multi-Agent Social Welfare Optimization NIPS 2024
OxonFair: A Flexible Toolkit for Algorithmic Fairness NIPS 2024
Promoting Fair Vaccination Strategies through Influence Maximization: A Case Study on COVID-19 Spread AAAI 2024
On the Effects of Fairness to Adversarial Vulnerability IJCAI 2024
Fairness and Optimization in Dynamic Multiagent Allocation Problems IJCAI 2024
An Efficient Algorithm for Fair Multi-Agent Multi-Armed Bandit with Low Regret AAAI 2023
LITMUS Predictor: An AI Assistant for Building Reliable, High-Performing and Fair Multilingual NLP Systems AAAI 2022
Post-processing of Differentially Private Data: A Fairness Perspective IJCAI 2022
PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review JMLR 2021
Investigating Methods of Balancing Inequality and Efficiency in Ride Pooling AAAI 2021
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours AAAI 2020
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models NIPS 2020
Trade the System Efficiency for the Income Equality of Drivers in Rideshare IJCAI 2020
Algorithms for Fair Load Shedding in Developing Countries IJCAI 2018