Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies

Subjects: “…Artificial Intelligence & Machine Learning…”
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Convergence and Sample Complexity of Natural Policy Gradient Primal-Dual Methods for Constrained MDPs

Subjects: “…Artificial Intelligence & Machine Learning…”
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Differentially Private Multivariate Medians

Subjects: “…Artificial Intelligence & Machine Learning…”
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VFOSA: Variance-Reduced Fast Operator Splitting Algorithms for Generalized Equations

Subjects: “…Artificial Intelligence & Machine Learning…”
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Scaling Capability in Token Space: An Analysis of Large Vision Language Model

Subjects: “…Artificial Intelligence & Machine Learning…”
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Minimax Optimal Two-Sample Testing under Local Differential Privacy

Subjects: “…Artificial Intelligence & Machine Learning…”
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Jackpot: Approximating Uncertainty Domains with Adversarial Manifolds

Subjects: “…Artificial Intelligence & Machine Learning…”
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An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models

Subjects: “…Artificial Intelligence & Machine Learning…”
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Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation

Subjects: “…Artificial Intelligence & Machine Learning…”
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A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning

Subjects: “…Artificial Intelligence & Machine Learning…”
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Infinite-dimensional Mahalanobis Distance with Applications to Kernelized Novelty Detection

Subjects: “…Artificial Intelligence & Machine Learning…”
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Stable learning using spiking neural networks equipped with affine encoders and decoders

Subjects: “…Artificial Intelligence & Machine Learning…”
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Efficient Knowledge Deletion from Trained Models Through Layer-wise Partial Machine Unlearning

Subjects: “…Artificial Intelligence & Machine Learning…”
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General Loss Functions Lead to (Approximate) Interpolation in High Dimensions

Subjects: “…Artificial Intelligence & Machine Learning…”
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Piecewise deterministic sampling with splitting schemes

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Hierarchical and Stochastic Crystallization Learning: Geometrically Leveraged Nonparametric Regression with Delaunay Triangulation

Subjects: “…Artificial Intelligence & Machine Learning…”
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Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2

Subjects: “…Artificial Intelligence & Machine Learning…”
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Decentralized Bilevel Optimization: A Perspective from Transient Iteration Complexity

Subjects: “…Artificial Intelligence & Machine Learning…”
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Fair Text Classification via Transferable Representations

Subjects: “…Artificial Intelligence & Machine Learning…”
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Stochastic Interior-Point Methods for Smooth Conic Optimization with Applications

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