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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.

168,742 papers · 148 categories

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0111 · Jan 201619922001200920172026
6 results for ECI

ECI improves time series prediction uncertainty quantification by smoothing miscoverage error.

problem Challenges in uncertainty quantification for time series prediction due to temporal dependence and distribution shift.
method Error-quantified Conformal Inference (ECI) by smoothing quantile loss function and introducing adaptive feedback scale.
result ECI achieves valid miscoverage control and tighter prediction sets than existing methods.

A new method for high-dimensional Bayesian optimization.

problem Challenges in extending BO to high dimensions.
method Expected Coordinate Improvement (ECI) criterion for high-dimensional Bayesian optimization.
result Significantly better results than standard BO and competitive results with state-of-the-art methods.

Contrary to conventional economic growth theory, which reduces a country's output to one aggregate variable (GDP), product diversity is central to economic development, as recent 'economic complexity' research suggests. A country's product diversity reflects its diversity of knowhow or 'capabilities'. Researchers propo…

2016-01-19abs ↗pdf ↗

New method tackles constrained optimization in multi-fidelity Bayesian optimization.

problem Efficiently identifying feasible regions in constrained optimization problems.
method Proposes CMFBO method with novel acquisition functions.
result Demonstrates effectiveness on synthetic problems and real-world ICF and joint design problems.

Study compares various calibration methods for binary classification tasks.

problem Improving probabilistic predictions in binary classification models.
method Benchmarked 21 classifiers using 5 calibration methods on real data.
result Venn-Abers predictors and Beta calibration show the largest log-loss reductions.