A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
The study shows how discrete graphs can resemble hypercube structures under certain curvature conditions.
Bounds on geodesic distances on Stiefel manifold derived from new metrics.
New bounds for private matrix approximation using Gaussian noise and Dyson Brownian Motion.
This paper proposes a new evaluation metric and boosting method for weight separability in neural network design. In contrast to general visual recognition methods designed to encourage both intra-class compactness and inter-class separability of latent features, we focus on estimating linear independence of column vec…
New formulas for geodesics on Stiefel and flag manifolds using trust-region method.
Polynomial-time private algorithm for robust estimation of mean and covariance in the presence of outliers.
Polynomial-time algorithm for estimating covariance in corrupted Gaussian data.