"Fair"的相关文档

标签“Fair”的相关文档，共27条

To be Robust or to be Fair Towards Fairness in Adversarial Training
TobeRobustortobeFair:TowardsFairnessinAdversarialTrainingHanXu1XiaoruiLiu1YaxinLi1AnilK.Jain1JiliangTang1Abstracttobewronglyclassiﬁed:AdversarialtrainingalgorithmshavebeenprovedminEmaxL(f(x+δ),y)...
Robust Be to to Towards
2023-11-16 19:42:081319657.11 KB6
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Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning
LearningFairPoliciesinDecentralizedCooperativeMulti-AgentReinforcementLearningMatthieuZimmer1ClaireGlanois1UmerSiddique1PaulWeng12Abstractcurrentmainfocusisontheirperformancewithrespecttothetotal(o...
Learning in Multi-Agent Decentralized Policies
2023-11-16 19:04:5915315.08 MB17
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Fair Selective Classification Via Sufficiency
FairSelectiveClassiﬁcationviaSufﬁciencyYuhengBu1JoshuaKa-WingLee1SubhroDas2RameswarPanda2DeeptaRajan2PrasannaSattigeri2GregoryWornell1AbstractTheﬁeldofFairmachinelearningisrichwithbothproblemsan...
via Classification Selective Fair Sufficiency
2023-11-16 18:38:07508980.44 KB2
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Fair Classification with Noisy Protected Attributes A Framework with Provable Guarantees
FairClassiﬁcationwithNoisyProtectedAttributes:AFrameworkwithProvableGuaranteesL.ElisaCelis1LingxiaoHuang2VijayKeswani1NisheethK.Vishnoi3Abstractξ0:=(f=1).Then,givenaperformancefunction,Fairnessco...
with Classification Attributes Noisy Framework
2023-11-16 18:38:06586741.4 KB29
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Ditto Fair and Robust Federated Learning Through Personalization
Ditto:FairandRobustFederatedLearningThroughPersonalizationTianLi1ShengyuanHu1AhmadBeirami2VirginiaSmith1Abstractminimaxoptimizationtofocusontheworst-performingde-vices(Mohrietal.,2019;Huetal.,2020)...
Learning and Robust through Fair
2023-11-16 18:30:4817351.78 MB29
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Collaborative Bayesian Optimization with Fair Regret
CollaborativeBayesianOptimizationwithFairRegretRachaelHweeLingSim1YehongZhang2BryanKianHsiangLow1PatrickJaillet3Abstractperformancebysequentiallyselectinginputqueriesforeval-uatingtheobjectivefunct...
Optimization with Bayesian Regret Collaborative
2023-11-16 18:11:2217823.69 MB11
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Too Relaxed to Be Fair
TooRelaxedtoBeFairMichaelLohaus12Michae¨lPerrot234UlrikevonLuxburg12AbstractTheproblemoflearningFairclassiﬁershasmainlybeenad-dressedinthreeways.First,pre-processingapproachesalterWeaddressthepro...
Be to Fair Relaxed Too
2023-11-14 21:46:4810374.57 MB16
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My Fair Bandit Distributed Learning of Max-Min Fairness with Multi-player Bandits
MyFairBandit:DistributedLearningofMax-MinFairnesswithMulti-playerBanditsIlaiBistritz1TavorZ.Baharav1AmirLeshem2NicholasBambos1Abstracttheenvironment.Isthereanalternativethatliesinthegapbetweenthetw...
Learning of Distributed Bandit Fair
2023-11-14 21:45:1711141.58 MB12
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Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards
LearningFairPoliciesinMultiobjective(Deep)ReinforcementLearningwithAverageandDiscountedRewardsUmerSiddique1PaulWeng12MatthieuZimmer1AbstractcurrentAImethodsdonothandlewellsituationswheretheyimpactm...
Learning Reinforcement Deep in Multi-objective
2023-11-14 21:44:529401.73 MB12
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How to Solve Fair k-Center in Massive Data Models
HowtoSolveFairk-CenterinMassiveDataModelsAshishChiplunkar1SagarKale2SivaramakrishnanNatarajanRamamoorthy3Abstractitedbyalgorithmsthemselves.Currentlyusedalgorithmsfordatasummarizationhavebeenshownt...
in to How Massive Solve
2023-11-14 21:44:311758815.74 KB18
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FR-Train A mutual information-based approach to Fair and robust training
FR-Train:AMutualInformation-BasedApproachtoFairandRobustTrainingYujiRoh1KangwookLee2StevenEuijongWhang1ChanghoSuh1Abstracttomersbasedonsensitiveattributesincludingage,sex,orreligion.Inaddition,asap...
and to Approach Fair Mutual
2023-11-14 21:44:18587808.58 KB5
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Fair Generative Modeling via Weak Supervision
FairGenerativeModelingviaWeakSupervisionKristyChoi1AdityaGrover1TrishaSingh2RuiShu1StefanoErmon1Abstractdiscriminatorynatureofsuchsystemsandwaystomitigateit(Podestaetal.,2014).Forexample,somenatura...
Generative via Weak Modeling Fair
2023-11-14 21:44:0915834.32 MB18
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Fair k-Centers via Maximum Matching
Fairk-CentersviaMaximumMatchingMatthewJones1HuyLêNguyê˜n1ThyNguyen1Abstractassociatedwithblackpeople"(Sweeney,2013).Theexis-tenceofthisunderlyingbiashasledtoarecentpopularityTheﬁeldofalgorithms...
Matching via Maximum Fair k-Centers
2023-11-14 21:44:09611359.46 KB14
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Fair Learning with Private Demographic Data
FairLearningwithPrivateDemographicDataHusseinMozannar1MesrobOhannessian2NathanSrebro3Abstractﬁnancesandsimilarincomelevels.SupposingApplewastryingtomakesureitslearnedmodelwasnondiscrimina-Sensitiv...
Learning with Data Private Fair
2023-11-14 21:44:091002426.68 KB11
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A Pairwise Fair and Community-preserving Approach to k-Center Clustering
APairwiseFairandCommunity-preservingApproachtok-CenterClusteringBrianBrubach1DarshanChakrabarti2JohnP.Dickerson1SamirKhuller3AravindSrinivasan1LeonidasTsepenekas1Abstractpartitionndatapointsintoclu...
and to Approach Pairwise Fair
2023-11-14 21:42:52843441.43 KB21
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Stable and Fair Classification
StableandFairClassiﬁcationLingxiaoHuang1NisheethK.Vishnoi2Abstractnessmetric(statisticalrate,thatmeasuresthediscrepancybetweenthepositiveproportionsoftwogroups;seeEq.(4))Inarecentstudy,Friedlereta...
and Classification Stable Fair
2023-11-13 14:48:36896430.35 KB16
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Scalable Fair Clustering
ScalableFairClusteringArtursBackurs12PiotrIndyk13KrzysztofOnak14BaruchSchieber15AliVakilian13TalWagner13AbstractInthispaperwefocusonthesecondaspect.Speciﬁcally,weconsidertheproblemofFairclustering...
Clustering Scalable Fair
2023-11-13 14:48:286681.46 MB25
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Proportionally Fair Clustering
ProportionallyFairClusteringXingyuChen1BrandonFain1LiangLyu1KameshMunagala1Abstractsiccontextforclusteringwork(Gonzalez,1985;Shmoysetal.,1997;Charikaretal.,2002;Aryaetal.,2004),andisWeextendtheFair...
Clustering Fair Proportionally
2023-11-13 14:48:181799487.42 KB21
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Learning Optimal Fair Policies
LearningOptimalFairPoliciesRaziehNabi1DanielMalinsky1IlyaShpitser1Abstractspaceofpossibleactions,orasequenceofsuchfunctions)ischosentomaximizesomepre-speciﬁedoutcomequantity,Systematicdiscriminato...
Learning Optimal Policies Fair
2023-11-13 14:47:401692330.42 KB26
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Flexibly Fair Representation Learning by Disentanglement
FlexiblyFairRepresentationLearningbyDisentanglementElliotCreager12DavidMadras12Jo¨rn-HenrikJacobsen2MarissaA.Weis23KevinSwersky4ToniannPitassi12RichardZemel12AbstractCurrentapproachestoFairreprese...
Learning by Representation Fair Disentanglement
2023-11-13 14:47:1411291.21 MB19
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