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Generalization Guarantees of Gradient Descent for Shallow Neural Networks

On sparse grid interpolation for American option pricing with multiple underlying assets

Boosted Kernel Ridge Regression: Optimal Learning Rates and Early Stopping

On metrics for computation of strength of coupling in multiphysics simulation

Structure selection for convolutive non-negative matrix factorization using normalized maximum likelihood coding

Dimensionality and Curvature Selection of Graph Embedding using Decomposed Normalized Maximum Likelihood Code-Length

Tight and fast generalization error bound of graph embedding in metric space

RGB Color Model Aware Computational Color Naming and Its Application to Data Augmentation

Generalization Error Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic

Generalization Error Bound for Hyperbolic Ordinal Embedding

Fourier-Analysis-Based Form of Normalized Maximum Likelihood: Exact Formula and Relation to Complex Bayesian Prior

Hyperbolic Ordinal Embedding

Orderly subspace clustering

Attributed subspace clustering

Exact Calculation of Normalized Maximum Likelihood Code Length Using Fourier Analysis

AGML: Adaptive Graph-based Multi-label Learning for Prediction of RBP and AS Event Associations During EMT

Spectral statistics of sample block correlation matrices

Symmetric graphs, regular maps and their central covers

The Construction of Probabilistic Boolean Networks: New Algorithms and Lower Bound

Stochastic Lighthill-Whitham-Richards traffic-flow model for nonlinear speed-density relationship