A Single-Loop, Constant-Batch First-Order Penalty Method for Stochastic Bilevel Optimization
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Is this machine playing?
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Advantage of Entangled Learning Rules in Quantum Measurement Class Learning
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Interleaved Projected Gradient Descent for Safe Imitation Learning
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Learning Disentangled Representations with Quantum Variational Autoencoders
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Evaluating Behavioral Context for Interpretable IAM Policy Risk Scoring in Cloud Environments
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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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