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.
This paper optimizes SMPC for neural network inference, reducing memory and time.
Paper tackles SMPC for linear systems with unknown noise distribution.
We seek a discussion about the most suitable feedback control structure for stock trading under the consideration of proportional transaction costs. Suitability refers to robustness and performance capability. Both are tested by considering different one-step ahead prediction qualities, including the ideal case, correc…
A new approach optimizes weights in DLP for better risk-adjusted performance.