estimation
Estimation in AI refers to the process of inferring unknown quantities or parameters based on observed data. This is fundamental in statistics and machine learning, where accurate estimation can significantly impact the performance of models.
- Bivariate Matrix-valued Linear Regression (BMLR): Finite-sample performance under Identifiability and Sparsity Assumptions
- Covariate-moderated Empirical Bayes Matrix Factorization
- IDOL: Meeting Diverse Distribution Shifts with Prior Physics for Tropical Cyclone Multi-Task Estimation
- Linear Transformers Implicitly Discover Unified Numerical Algorithms
- Minimax-Optimal Univariate Function Selection in Sparse Additive Models: Rates, Adaptation, and the Estimation-Selection Gap
- Statistical Inference under Performativity