#minimization — Public Fediverse posts

Weighting an Average to Minimize Variance

https://www.johndcook.com/blog/2025/11/12/minimum-variance/

#HackerNews #Weighting #Average #Variance #Minimization #Statistics #DataScience

Weighting an Average to Minimize Variance

https://www.johndcook.com/blog/2025/11/12/minimum-variance/

#HackerNews #Weighting #Average #Variance #Minimization #Statistics #DataScience

Weighting an Average to Minimize Variance

https://www.johndcook.com/blog/2025/11/12/minimum-variance/

#HackerNews #Weighting #Average #Variance #Minimization #Statistics #DataScience

Weighting an Average to Minimize Variance

https://www.johndcook.com/blog/2025/11/12/minimum-variance/

#HackerNews #Weighting #Average #Variance #Minimization #Statistics #DataScience

Weighting an Average to Minimize Variance

https://www.johndcook.com/blog/2025/11/12/minimum-variance/

#HackerNews #Weighting #Average #Variance #Minimization #Statistics #DataScience

'Affine Rank Minimization via Asymptotic Log-Det Iteratively Reweighted Least Squares', by Sebastian Krämer.

http://jmlr.org/papers/v26/23-0943.html

#minimizers #minimization #optimization

'Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components', by Naichen Shi, Salar Fattahi, Raed Al Kontar.

http://jmlr.org/papers/v25/24-0400.html

#minimization #factorization #sparse

'Stochastic Regularized Majorization-Minimization with weakly convex and multi-convex surrogates', by Hanbaek Lyu.

http://jmlr.org/papers/v25/23-0349.html

#regularization #regularized #minimization

'Stochastic Regularized Majorization-Minimization with weakly convex and multi-convex surrogates', by Hanbaek Lyu.

http://jmlr.org/papers/v25/23-0349.html

#regularization #regularized #minimization

'Stochastic Regularized Majorization-Minimization with weakly convex and multi-convex surrogates', by Hanbaek Lyu.

http://jmlr.org/papers/v25/23-0349.html

#regularization #regularized #minimization

'Stochastic Regularized Majorization-Minimization with weakly convex and multi-convex surrogates', by Hanbaek Lyu.

http://jmlr.org/papers/v25/23-0349.html

#regularization #regularized #minimization

'Sharpness-Aware Minimization and the Edge of Stability', by Philip M. Long, Peter L. Bartlett.

http://jmlr.org/papers/v25/23-1285.html

#gradient #minimization #hessian

'Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization', by Daniel LeJeune, Jiayu Liu, Reinhard Heckel.

http://jmlr.org/papers/v25/22-1197.html

#misclassification #distributions #minimization