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  1. Lexicographic Lipschitz Bandits: New Algorithms and a Lower Bound

    Subjects: “…Computer Science & Information Science…”
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  2. On the Natural Gradient of the Evidence Lower Bound

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  3. Geometry and Stability of Supervised Learning Problems

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  4. Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination

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  5. Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions

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  6. A Hybrid Weighted Nearest Neighbour Classifier for Semi-Supervised Learning

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  7. Scalable and Adaptive Variational Bayes Methods for Hawkes Processes

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  8. Biological Sequence Kernels with Guaranteed Flexibility

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  9. Unified Discrete Diffusion for Categorical Data

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  10. Reinforcement Learning for Infinite-Dimensional Systems

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  11. Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation

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  12. Generation of Geodesics with Actor-Critic Reinforcement Learning to Predict Midpoints

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  13. Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation

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  14. Sparse Semiparametric Discriminant Analysis for High-dimensional Zero-inflated Data

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  15. Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

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  16. Efficient Methods for Non-stationary Online Learning

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  17. Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration

    Subjects: “…Computer Science & Information Science…”
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  18. Mixtures of Gaussian Process Experts with SMC^2

    Subjects: “…Computer Science & Information Science…”
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  19. Robust Point Matching with Distance Profiles

    Subjects: “…Computer Science & Information Science…”
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  20. BoFire: Bayesian Optimization Framework Intended for Real Experiments

    Subjects: “…Computer Science & Information Science…”
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