density estimation
Density estimation is a statistical technique used to infer the probability distribution of data points in a dataset. It is used in AI for tasks such as anomaly detection and generative modeling.
- CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices
- Fairness-aware Anomaly Detection via Fair Projection
- Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor
- SD-KDE: Score-Debiased Kernel Density Estimation
- Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures
- Score-Based Diffusion Modeling for Nonparametric Empirical Bayes in Heteroscedastic Gaussian Mixtures
- Stochastic Process Learning via Operator Flow Matching
- Variational Polya Tree