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.

168,742 papers · 148 categories

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2 results for “CNML”

Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimationcs.LG

ACNML method improves uncertainty estimation for deep networks.

problem Uncertainty estimation and calibration for deep neural networks under distribution shift.

method Approximate Bayesian inference to approximate CNML distribution.

result ACNML compares favorably to prior techniques for uncertainty estimation.

deep learning uncertainty estimation out-of-distribution approximate inference CNML

2020-11-05abs ↗pdf ↗

Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihoodcs.LG

New method for sequential probability assignment reduces regret using contextual Shtarkov sums.

problem Minimizing regret in sequential probability assignment with arbitrary hypothesis classes.

method Introducing contextual Shtarkov sum and contextual Normalized Maximum Likelihood (cNML) algorithm.

result The contextual Shtarkov sum characterizes minimax regret and provides a minimax optimal strategy.

sequential probability assignment minimax regret contextual Shtarkov sum Normalized Maximum Likelihood online learning

2024-10-04abs ↗pdf ↗