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Minming Li | Bo Li | Ruilong Zhang | Minming Li | Ruilong Zhang | Bo Li
[1] Sudipto Guha,et al. Approximating the Throughput of Multiple Machines in Real-Time Scheduling , 2002, SIAM J. Comput..
[2] Silvio Lattanzi,et al. Fair Clustering Through Fairlets , 2018, NIPS.
[3] Mohammad Ghodsi,et al. Fair Allocation of Indivisible Goods: Improvements and Generalizations , 2017, EC.
[4] David S. Johnson,et al. Computers and Intractability: A Guide to the Theory of NP-Completeness , 1978 .
[5] H. P. Williams. THEORY OF LINEAR AND INTEGER PROGRAMMING (Wiley-Interscience Series in Discrete Mathematics and Optimization) , 1989 .
[6] Magnus Lie Hetland,et al. Fair Allocation of Conflicting Items , 2022, Auton. Agents Multi Agent Syst..
[7] Eric Rice,et al. Exploring Algorithmic Fairness in Robust Graph Covering Problems , 2020, NeurIPS.
[8] Piotr Berman,et al. Multi-phase Algorithms for Throughput Maximization for Real-Time Scheduling , 2000, J. Comb. Optim..
[9] Sanjoy K. Baruah,et al. Fairness in periodic real-time scheduling , 1995, Proceedings 16th IEEE Real-Time Systems Symposium.
[10] Yuval Rabani,et al. Fairness in scheduling , 1995, SODA '95.
[11] Evangelos Markakis,et al. Approximation Algorithms for Computing Maximin Share Allocations , 2015, ICALP.
[12] Uriel Feige,et al. A tight negative example for MMS fair allocations , 2021, WINE.
[13] Martin Milanic,et al. Fair Packing of Independent Sets , 2020, IWOCA.
[14] Jie Zhang,et al. Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning , 2020, NeurIPS.
[15] Stefano Leonardi,et al. Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint , 2020, NeurIPS.
[16] Rohan R. Paleja,et al. Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations , 2019, NeurIPS.
[17] Erel Segal-Halevi,et al. On Fair Division under Heterogeneous Matroid Constraints , 2020, AAAI.
[18] Ariel D. Procaccia,et al. The Unreasonable Fairness of Maximum Nash Welfare , 2016, EC.
[19] Google,et al. Improving Online Algorithms via ML Predictions , 2024, NeurIPS.
[20] Siddharth Barman,et al. Fair Division Under Cardinality Constraints , 2018, IJCAI.
[21] Ariel D. Procaccia,et al. Fair enough: guaranteeing approximate maximin shares , 2014, EC.
[22] Benjamin Moseley,et al. Fair Scheduling via Iterative Quasi-Uniform Sampling , 2017, SODA.
[23] Éva Tardos,et al. Algorithm design , 2005 .
[24] Jugal Garg,et al. An Improved Approximation Algorithm for Maximin Shares , 2019, EC.
[25] Eric Budish,et al. The Combinatorial Assignment Problem: Approximate Competitive Equilibrium from Equal Incomes , 2010, Journal of Political Economy.
[26] Sanjoy K. Baruah,et al. Pfair Scheduling of Generalized Pinwheel Task Systems , 1998, IEEE Trans. Computers.
[27] Rafail Ostrovsky,et al. Approximation algorithms for the job interval selection problem and related scheduling problems , 2001, Proceedings 2001 IEEE International Conference on Cluster Computing.
[28] Rohit Vaish,et al. Finding Fair and Efficient Allocations , 2017, EC.
[29] Maciej Drozdowski,et al. Scheduling for Parallel Processing , 2009, Computer Communications and Networks.
[30] Benjamin Moseley,et al. Breaking 1 - 1/e Barrier for Nonpreemptive Throughput Maximization , 2020, SIAM J. Discret. Math..
[31] Siddharth Barman,et al. Approximation Algorithms for Maximin Fair Division , 2017, EC.
[32] Kamesh Munagala,et al. Proportionally Fair Clustering , 2019, ICML.
[33] Jiarui Gan,et al. Budget-feasible Maximum Nash Social Welfare Allocation is Almost Envy-free , 2020, ArXiv.
[34] Anwar Saif,et al. Task scheduling in cloud computing based on metaheuristic techniques: A review paper , 2020, EAI Endorsed Trans. Cloud Syst..
[35] Elchanan Mossel,et al. On approximately fair allocations of indivisible goods , 2004, EC '04.
[36] Siddharth Barman,et al. Matroid Constrained Fair Allocation Problem , 2019, AAAI.