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arXiv research

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.

169,181 papers · 148 categories

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3 results for LOBPCG

LOBPCG speeds up spectral clustering for streaming graphs, reducing computation time and memory usage.

problem Efficiently partitioning large graphs in streaming environments.
method Locally Optimal Block Preconditioned Conjugate Gradient (LOBPCG) for graph Laplacians.
result LOBPCG reduces computation time by 100-1000x for streaming graphs compared to static graph partitioning.

A fast metric learning framework using Gershgorin disc alignment.

problem Learning effective metrics for graph-based data.
method Fast projection-free metric learning via Gershgorin disc alignment.
result Efficiently computed graph metric matrices outperform competing methods.

A new metric learning framework for signed graphs using Gershgorin disc alignment.

problem Learning Mahalanobis metrics from signed graphs efficiently.
method Proposes a fast metric learning framework using Gershgorin disc perfect alignment (GDPA) to circumvent full eigen-decomposition.
result Proves that Gershgorin disc left-ends of similarity transform are perfectly aligned at the smallest eigenvalue, enabling efficient optimization.