LGR samples balanced treatment assignments in high-dimensional experiments via continuous relaxation and SGLD, retaining valid inference through randomization tests while being orders of magnitude faster than prior methods.
2024.105724
2 Pith papers cite this work. Polarity classification is still indexing.
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Non-unique time arising from event-driven order flow points to a foundational market incompleteness beyond usual no-arbitrage assumptions.
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Langevin-Gradient Rerandomization
LGR samples balanced treatment assignments in high-dimensional experiments via continuous relaxation and SGLD, retaining valid inference through randomization tests while being orders of magnitude faster than prior methods.
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Non-unique time and market incompleteness
Non-unique time arising from event-driven order flow points to a foundational market incompleteness beyond usual no-arbitrage assumptions.