Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime

Subjects: “…Artificial Intelligence & Machine Learning…”
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Lexicographic Lipschitz Bandits: New Algorithms and a Lower Bound

Subjects: “…Artificial Intelligence & Machine Learning…”
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On the Natural Gradient of the Evidence Lower Bound

Subjects: “…Artificial Intelligence & Machine Learning…”
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Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions

Subjects: “…Artificial Intelligence & Machine Learning…”
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Scalable and Adaptive Variational Bayes Methods for Hawkes Processes

Subjects: “…Artificial Intelligence & Machine Learning…”
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Biological Sequence Kernels with Guaranteed Flexibility

Subjects: “…Artificial Intelligence & Machine Learning…”
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Unified Discrete Diffusion for Categorical Data

Subjects: “…Artificial Intelligence & Machine Learning…”
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Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation

Subjects: “…Artificial Intelligence & Machine Learning…”
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Sparse Semiparametric Discriminant Analysis for High-dimensional Zero-inflated Data

Subjects: “…Artificial Intelligence & Machine Learning…”
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Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Subjects: “…Artificial Intelligence & Machine Learning…”
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Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration

Subjects: “…Artificial Intelligence & Machine Learning…”
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Mixtures of Gaussian Process Experts with SMC^2

Subjects: “…Artificial Intelligence & Machine Learning…”
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Robust Point Matching with Distance Profiles

Subjects: “…Artificial Intelligence & Machine Learning…”
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BoFire: Bayesian Optimization Framework Intended for Real Experiments

Subjects: “…Artificial Intelligence & Machine Learning…”
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Reliever: Relieving the Burden of Costly Model Fits for Changepoint Detection

Subjects: “…Artificial Intelligence & Machine Learning…”
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Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs

Subjects: “…Artificial Intelligence & Machine Learning…”
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Are Ensembles Getting Better All the Time?

Subjects: “…Artificial Intelligence & Machine Learning…”
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An Adaptive Parameter-free and Projection-free Restarting Level Set Method for Constrained Convex Optimization Under the Error Bound Condition

Subjects: “…Artificial Intelligence & Machine Learning…”
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Decentralized Sparse Linear Regression via Gradient-Tracking

Subjects: “…Artificial Intelligence & Machine Learning…”
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Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty

Subjects: “…Artificial Intelligence & Machine Learning…”
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