Scaling Data-Constrained Language Models

Subjects: “…Artificial Intelligence & Machine Learning…”
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Curvature-based Clustering on Graphs

Subjects: “…Artificial Intelligence & Machine Learning…”
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Composite Goodness-of-fit Tests with Kernels

Subjects: “…Artificial Intelligence & Machine Learning…”
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PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark

Subjects: “…Artificial Intelligence & Machine Learning…”
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The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning

Subjects: “…Artificial Intelligence & Machine Learning…”
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Efficient and Robust Transfer Learning of Optimal Individualized Treatment Regimes with Right-Censored Survival Data

Subjects: “…Artificial Intelligence & Machine Learning…”
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DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning

Subjects: “…Artificial Intelligence & Machine Learning…”
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Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization

Subjects: “…Artificial Intelligence & Machine Learning…”
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Manifold Fitting under Unbounded Noise

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Learning Global Nash Equilibrium in Team Competitive Games with Generalized Fictitious Cross-Play

Subjects: “…Artificial Intelligence & Machine Learning…”
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Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models

Subjects: “…Artificial Intelligence & Machine Learning…”
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Extremal graphical modeling with latent variables via convex optimization

Subjects: “…Artificial Intelligence & Machine Learning…”
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On the Approximation of Kernel functions

Subjects: “…Artificial Intelligence & Machine Learning…”
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Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response

Subjects: “…Artificial Intelligence & Machine Learning…”
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Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning

Subjects: “…Artificial Intelligence & Machine Learning…”
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Optimizing Data Collection for Machine Learning

Subjects: “…Artificial Intelligence & Machine Learning…”
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Unbalanced Kantorovich-Rubinstein distance, plan, and barycenter on nite spaces: A statistical perspective

Subjects: “…Artificial Intelligence & Machine Learning…”
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Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding

Subjects: “…Artificial Intelligence & Machine Learning…”
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Rank-one Convexification for Sparse Regression

Subjects: “…Artificial Intelligence & Machine Learning…”
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gsplat: An Open-Source Library for Gaussian Splatting

Subjects: “…Artificial Intelligence & Machine Learning…”
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