statistical learning
Statistical learning is an area of machine learning that focuses on the application of statistical principles to analyze and model patterns in data. It provides the theoretical framework for many algorithms and techniques used in AI.
- Bivariate Matrix-valued Linear Regression (BMLR): Finite-sample performance under Identifiability and Sparsity Assumptions
- FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting
- Learning with Statistical Equality Constraints
- PAC-Bayes Bounds for Multivariate Linear Regression and Linear Autoencoders
- Revisiting Agnostic Boosting
- Scalable and adaptive prediction bands with kernel sum-of-squares