https://openreview.net/forum?id=LRYtNj8Xw0
Learning Augmentation Distributions using Transformed Risk Minimization | OpenReview
risk minimizationlearningaugmentationdistributionsusing
https://speakerdeck.com/mkimura/on-the-principle-of-invariant-risk-minimization
On the principle of Invariant Risk Minimization - Speaker Deck
on therisk minimizationprincipleinvariantspeaker
https://pubmed.ncbi.nlm.nih.gov/38478350/
The Reporting Recommendations Intended for Pharmaceutical Risk Minimization Evaluation Studies:...
The RIMES-SE Statement and Checklist extends the reporting guidelines set forth in the original RIMES Checklist via inclusion of key implementation science...
reporting recommendationsfor pharmaceuticalrisk minimizationintendedevaluation
https://uwspace.uwaterloo.ca/items/71c9fe5a-77e7-4b14-88af-3cf11782c53e/full
Risk Minimization in Power System Expansion and Power Pool Electricity Markets
Centralized power system planning covers time windows that range from ten to thirty years. Consequently, it is the longest and most uncertain part of power...
risk minimizationpower systemexpansionpoolelectricity
https://kth.diva-portal.org/smash/record.jsf?pid=diva2:1833348
Distributed empirical risk minimization with differential privacy
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https://collaborate.princeton.edu/en/publications/asymmetry-of-the-relative-entropy-in-the-regularization-of-empiri/
Asymmetry of the Relative Entropy in the Regularization of Empirical Risk Minimization - Princeton...
of therisk minimizationasymmetryrelativeentropy
https://uwspace.uwaterloo.ca/items/bc94b415-a205-4f52-89b5-469391908a3a
General Quadratic Risk Minimization: a Variational Approach
Mean-variance portfolio selection and mean-variance hedging are mainstream research topics in mathematical nance, which can be subsumed within the framework of...
risk minimizationgeneralquadraticapproach
https://pure.psu.edu/en/publications/a-new-analytical-approach-to-consistency-and-overfitting-in-regul/
A new analytical approach to consistency and overfitting in regularized empirical risk minimization...
https://www.mit.edu/~gfarina/2025/67220s25_L15_sgd/
Gabriele Farina - Stochastic gradient descent and empirical risk minimization
Practical importance of stochastic gradient descent with momentum in tranining deep learning models; empirical risk minimization problems; minibatches;...
stochastic gradient descentgabrielefarinaempiricalrisk