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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.

168,657 papers · 148 categories

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1122 · Jun 202019922001200920172026
8 results for Habituation

Study optimal retirement time and consumption with habitual persistence.

problem Understanding retirement consumption patterns with habitual persistence.
method Established concise habitual evolution, used martingale and duality methods.
result Optimal consumption declines sharply at retirement but excess consumption increases.

NIPA aims to translate brain learning mechanisms into scalable Bayesian inference.

problem Scalable Bayesian inference for large-scale statistical machine learning problems.
method Neural-inspired algorithm combining model-based, model-free, and episodic-control modules.
result Advances Bayesian methods and facilitates their application to deep learning.

Model predicts S&P500 volatility more accurately than existing models.

problem Improving accuracy of volatility and market risk forecasts.
method Stacked model using Gradient Descent Boosting, Random Forest, SVM, and Artificial Neural Network.
result The model outperforms other models in forecasting S&P500 volatility.

Deep active inference agents learn complex environments using Monte-Carlo methods.

problem Understanding and modeling biological intelligence in complex, continuous state-spaces.
method Neural architecture for deep active inference agents using multiple forms of Monte-Carlo sampling.
result Deep active inference agents can learn environmental dynamics and plan future actions.