On-device research index

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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2 results for “Variance-tuning”

Efficient and Unbiased Sampling from Boltzmann Distributions via Variance-Tuned Diffusion Modelscs.LG

VT-DIS improves sampling from Boltzmann distributions with minimal overhead.

problem Bias in Monte Carlo estimates from score-based diffusion models.

method Variance-Tuned Diffusion Importance Sampling (VT-DIS) adapts noise covariance to correct bias.

result VT-DIS achieves effective sample sizes of 80%, 35%, and 3.5% on benchmarks, using less computational budget.

score-based diffusion models Monte Carlo sampling Boltzmann distributions Variance-tuning Importance sampling

2025-05-27abs ↗pdf ↗

Spectral gap of Metropolis-within-Gibbs under log-concavitystat.ML

Improved spectral gap for MwG with adaptive RWM proposals.

problem Improving mixing efficiency of MwG for log-concave distributions.

method Using adaptive RWM proposals tuned to match conditional variances of log-concave target distributions.

result Established a spectral gap lower bound of order

\mathcal{O}(1/κd)

for MwG.

Metropolis-within-Gibbs spectral gap log-concave adaptive proposals conductance

2025-09-30abs ↗pdf ↗