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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.

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2 results for “log-sum-exponential”

Differentiable neural network representation of multi-well, locally-convex potentialsstat.ML

Proposes a differentiable LSE-ICNN for modeling multi-well potentials.

problem Modeling multi-well potentials in various scientific domains.

method Log-sum-exponential (LSE) mixture of input convex neural network (ICNN) modes.

result Smooth surrogate that retains convexity within basins and allows gradient-based learning.

multi-well potentials log-sum-exponential input convex neural network gradient-based learning sparse regression

2025-06-06abs ↗pdf ↗

Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learningcs.LG

Novel LSE estimator improves off-policy learning and evaluation.

problem High variance and poor performance with low-quality propensity scores and heavy-tailed reward distributions.

method Introduces a novel estimator based on the log-sum-exponential (LSE) operator.

result Achieves convergence rate of

O(n^{-ε/(1+ ε)})

for regret bounds.

log-sum-exponential off-policy learning evaluation propensity scores

2025-06-07abs ↗pdf ↗