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Similar Items: Piecewise deterministic sampling with splitting schemes

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Piecewise deterministic sampling with splitting schemes
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Piecewise deterministic sampling with splitting schemes
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Piecewise deterministic sampling with splitting schemes
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VFOSA: Variance-Reduced Fast Operator Splitting Algorithms for Generalized Equations
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VFOSA: Variance-Reduced Fast Operator Splitting Algorithms for Generalized Equations
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VFOSA: Variance-Reduced Fast Operator Splitting Algorithms for Generalized Equations
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Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos
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Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos
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Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos
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Sampling and Estimation on Manifolds using the Langevin Diffusion
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Sampling and Estimation on Manifolds using the Langevin Diffusion
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Sampling and Estimation on Manifolds using the Langevin Diffusion
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Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds
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Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds
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Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds
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Label-Aware Pseudo-Training Sample Generation for Text Classification
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Minimax Optimal Two-Sample Testing under Local Differential Privacy
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Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation
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Graph-accelerated Markov Chain Monte Carlo using Approximate Samples
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Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning Lens
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On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls
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Minimax Optimal Two-Sample Testing under Local Differential Privacy
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Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation
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Graph-accelerated Markov Chain Monte Carlo using Approximate Samples