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Robust Policy Gradient against Strong Data Corruption
RobustPolicyGradientagainstStrongDataCorruptionXuezhouZhang1YidingChen1JerryZhu1WenSun2Abstracthighlynoisydata,suchasautonomousdriving,quantitativetrading,ormedicaldiagnosis.Westudytheproblemofrobu...
Gradient Data Robust Policy Strong
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Accuracy on the Line on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization
AccuracyontheLine:OntheStrongCorrelationBetweenOut-of-DistributionandIn-DistributionGeneralizationJohnMiller1RohanTaori2AditiRaghunathan2ShioriSagawa2PangWeiKoh2VaishaalShankar1PercyLiang2YairCarmo...
on the Strong Accuracy between
2023-11-16 18:00:2110042.1 MB22
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Randomization matters How to defend against Strong adversarial attacks
RandomizationmattersHowtodefendagainstStrongadversarialattacksRafaelPinot12RaphaelEttedgui1GeovaniRizk1YannChevaleyre1JamalAtif1Abstractand(Szegedyetal.,2014)itbecameincreasinglyimportanttoundersta...
to How Strong against Matters
2023-11-14 21:46:031881430.07 KB24
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Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions
StrongNP-HardnessforSparseOptimizationwithConcavePenaltyFunctionsYichenChen1DongdongGe2MengdiWang1ZizhuoWang3YinyuYe4HaoYin4AbstractWeareinterestedinthecomputationalcomplexityofProb-lem1undergenera...
for Sparse Optimization with Strong
2023-11-12 20:45:201022237.77 KB5
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Exploiting Strong Convexity from Data with Primal-Dual First-Order Algorithms
ExploitingStrongConvexityfromDatawithPrimal-DualFirst-OrderAlgorithmsJialeiWang1LinXiao2Abstractfunctionisφi(z)=(1/2)(z−bi)2,andwegetridgere-gressionwith2andtheelasticnetwithWeconsiderempiricalri...
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Robust Policy Gradient against Strong Data Corruption

Accuracy on the Line on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization

Randomization matters How to defend against Strong adversarial attacks

Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions

Exploiting Strong Convexity from Data with Primal-Dual First-Order Algorithms