On the Representation of Pairwise Causal Background Knowledge and Its Applications in Causal Inference

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On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls

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Indifferent or Attractive? An Exploratory Kano Model Application to Cultivated Meat Products

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Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning

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On the Representation of Pairwise Causal Background Knowledge and Its Applications in Causal Inference

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The plant microbiome: exploration, mechanistic understanding and practical application in sustainable agriculture

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On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls

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Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning

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VowSpace: A vowel formant analysis application for phonetic research

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On the Representation of Pairwise Causal Background Knowledge and Its Applications in Causal Inference

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On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls

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Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning

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LoKA: Low-precision Kernel Applications for Recommendation Models At Scale

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Finitary Simulation of Infinitary $beta$-Reduction via Taylor Expansion, and Applications

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A categorical framework for congruence of applicative bisimilarity in higher-order languages

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Translation of Algorithmic Descriptions of Discrete Functions to SAT with Applications to Cryptanalysis Problems

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On linear rewriting systems for Boolean logic and some applications to proof theory

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Models for industry differentiation in decision-making systems with an application to the Ukrainian economy

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Application research and analysis of virtual reality technology in educational management training

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Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning

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