Category: Statistics
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Dimensionality Reduction for Multivariate Vector-Valued Functions with Shared Active Subspace
Generalization Error Analysis of Nonlinear Functional Regression with Functional Deep Neural Networks
Less Stringent Sparsity Requirements for Low-Rank Matrix Estimation
Improving Piecewise Regression Models with Constraints: A Comprehensive Review
Determining Statistical Capacity in Perceptron Models
Double Logistic Regression Approach to Biased Positive-Unlabeled Data
New Formulation of Support Vector Machines for Improved Classifier Performance
Rate-Optimal Classification from Non-Private and Private Data
Tensor Methods and Neural Networks: A Review of Recent Developments
Fast Rates for Returning Good Arms: A New Perspective on Simple Regret
novel block-wise Metropolization
Bridging the Gap Between Stochastic Gradient MCMC and Optimization
Estimating Noise-Level Accuracy in Learned Reconstruction
Synthetic Data Generation for AI Acceleration: Challenges and Opportunities
Measuring Classifier Performance: A Comprehensive Review
Distributionally Robust Learning: A Comprehensive Survey
Rethinking Air Pollution Monitoring: A Comparative Study of Low-Cost Sensors and Satellite Observations
Trade-offs in Deep Learning Models: A Comparative Study of CFN-RW and LightGCNet
