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Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations
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Predict then Interpolate A Simple Algorithm to Learn Stable Classifiers
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Posterior Value Functions Hindsight Baselines for Policy Gradient Methods
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Post-selection inference with HSIC-Lasso
Post-SelectionInferencewithHSIC-LassoTobiasFreidling1BenjaminPoignard23He´ctorClimente-Gonza´lez3MakotoYamada34AbstractThemoststraightforwardremedyissamplesplitting,whichusesonepartofthedataformo...
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Positive-Negative Momentum Manipulating Stochastic Gradient Noise to Improve Generalization
Positive-NegativeMomentum:ManipulatingStochasticGradientNoisetoImproveGeneralizationZekeXie1LiYuan2ZhanxingZhu3MasashiSugiyama41AbstractItiswell-knownthatstochasticgradientnoise(SGN)instochasticopt...
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PopSkipJump Decision-Based Attack for Probabilistic Classifiers
PopSkipJump:Decision-BasedAttackforProbabilisticClassiﬁersCarl-JohannSimon-Gabriel1NomanAhmedSheikh1AndreasKrause1Abstractnoisyorprobabilisticclassiﬁcationoutputs–aquitenaturalandcommonsettingin...
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Poolingformer Long Document Modeling with Pooling Attention
Poolingformer:LongDocumentModelingwithPoolingAttentionHangZhang12YeyunGong3YelongShen4WeishengLi5JianchengLv1NanDuan3WeizhuChen4Abstract(a)Single-levellocalattention(b)Two-levelpoolingattentionInth...
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Policy Information Capacity Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
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Policy Caches with Successor Features
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Policy Gradient Bayesian Robust Optimization for Imitation Learning
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Policy Analysis using Synthetic Controls in Continuous-Time
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Pointwise Binary Classification with Pairwise Confidence Comparisons
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Poisson-Randomised DirBN Large Mutation is Needed in Dirichlet Belief Networks
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PODS Policy Optimization via Differentiable Simulation
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PixelTransformer Sample Conditioned Signal Generation
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PipeTransformer Automated Elastic Pipelining for Distributed Training of Large-scale Models
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PID Accelerated Value Iteration Algorithm
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Phase Transitions, Distance Functions, and Implicit Neural Representations
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PHEW Constructing Sparse Networks that Learn Fast and Generalize Well without Training Data
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Phasic Policy Gradient
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