Research
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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.

168,695 papers · 148 categories

Trend · papers per month

count% of corpus
0111 · May 201619922001200920172026
4 results for “Superefficiency”
Adaptive debiased machine learning using data-driven model selection techniquesstat.ME

ADML combines debiased learning with data-driven model selection for efficient inference.

problem Debiased machine learning estimators can be unstable and biased in nonparametric models.
method Data-driven model selection techniques combined with debiased machine learning.
result ADML estimators yield superefficient inference for pathwise differentiable parameters.
Debiased learningData-driven model selectionSuperefficiencyNonparametric inferenceMachine learning
2023-07-24abs ↗pdf ↗
Semiparametric Double Reinforcement Learning with Applications to Long-Term Causal Inferencestat.ML

Improves DRL for long-term causal inference with semiparametric methods.

problem Efficient inference for policy values in nonparametric MDPs with stringent conditions.
method Semiparametric Double Reinforcement Learning (DRL) with superefficient nonparametric estimators.
result Relaxes overlap conditions and reduces high-dimensional density-ratio estimation.
Double Reinforcement LearningLong-term Causal InferenceSemiparametric MethodsQ-functionOccupancy Density Ratios
2025-01-12abs ↗pdf ↗
Local Minimax Complexity of Stochastic Convex Optimizationstat.ML

We extend the traditional worst-case, minimax analysis of stochastic convex optimization by introducing a localized form of minimax complexity for individual functions. Our main result gives function-specific lower and upper bounds on the number of stochastic subgradient evaluations needed to optimize either the functi…

2016-05-24abs ↗pdf ↗