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Faster Online Learning of Optimal Threshold for Consistent F-measure Optimization
Xiaoxuan Zhang, Mingrui Liu, Xun Zhou, Tianbao Yang
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
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DoubleCheckYourStateBeforeTrustingIt: Confidence-AwareBidirectionalOfflineModel-Based Imagination
Neural Information Processing Systems
OfflineRLisdeemed to be promising [16, 14] as online learning requires the agent to continuously interact with the environment, which howevermaybecostly,time-consuming, orevendangerous.
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NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications Robert Tjarko Lange
Neural Information Processing Systems
Recently, the Deep Learning community has become interested in evolutionary optimization (EO) as a means to address hard optimization problems, e.g.
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