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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.

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2 results for “OLLA”
Fast Non-Log-Concave Sampling under Nonconvex Equality and Inequality Constraints with Landingcs.LG

OLLA framework efficiently samples from constrained distributions with nonconvex constraints.

problem Sampling from constrained distributions with nonconvex constraints is challenging.
method Overdamped Langevin with Landing (OLLA) framework that handles both equality and inequality constraints.
result OLLA converges exponentially fast to the constrained target density in W2W_2 distance.
samplingconstrained distributionsnonconvex constraintsOLLAoverdamped Langevin
2025-10-24abs ↗pdf ↗