An overview of machine learning-enhanced iterative methods for systems of linear and nonlinear equations
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How Inefficient Is Natural Gradient Descent? From Exact Optimality to \Theta ( \sqrt{ \log d } ) Divergence
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Assumption-lean logistic regression with missing covariates
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HyperNSDE: Personalized Neural SDEs for Joint Static-Longitudinal Clinical Data Generation
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Artifact removal improves electrodermal waveforms but not downstream classification in a virtual-reality balance task
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Bayesian Optimization on Function Spaces via Sparse RKHS Manifolds
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Deep Defence on Wheels: A Dual Intrusion Detection System Architecture for Comprehensive In-Vehicle Network Security
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DeepAJM: Deep Association Joint Model for Irregularly Sampled data
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Does Muon Need Fine-Grained Spectral Shaping?
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A perspective note on likelihood approximation and inference for complex simulation models using a chain of aggregated normalizing flows
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Two-Sample Testing for Random Graphs without Vertex Correspondence
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SkillFormer: Skill-Decomposed Adaptation for Audio Language Models
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