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@sauer_lauwarm@mastodon.social
2026-01-14 14:02:09

Ja, nein, aber: Die Reduktion der Kosten für die Vergabe von Forschungsmitteln ist halt auch nur ein Ziel, das gegen andere abzuwägen wäre (z.B. im Fall der Vergabe durch Lotterie, durch den Wert der Fairness und den evtl. demotivierenden Effekt).
nature.com/articles/d41586-025

@arXiv_mathOC_bot@mastoxiv.page
2025-11-14 09:35:50

dHPR: A Distributed Halpern Peaceman--Rachford Method for Non-smooth Distributed Optimization Problems
Zhangcheng Feng, Defeng Sun, Yancheng Yuan, Guojun Zhang
arxiv.org/abs/2511.10069 arxiv.org/pdf/2511.10069 arxiv.org/html/2511.10069
arXiv:2511.10069v1 Announce Type: new
Abstract: This paper introduces the distributed Halpern Peaceman--Rachford (dHPR) method, an efficient algorithm for solving distributed convex composite optimization problems with non-smooth objectives, which achieves a non-ergodic $O(1/k)$ iteration complexity regarding Karush--Kuhn--Tucker residual. By leveraging the symmetric Gauss--Seidel decomposition, the dHPR effectively decouples the linear operators in the objective functions and consensus constraints while maintaining parallelizability and avoiding additional large proximal terms, leading to a decentralized implementation with provably fast convergence. The superior performance of dHPR is demonstrated through comprehensive numerical experiments on distributed LASSO, group LASSO, and $L_1$-regularized logistic regression problems.
toXiv_bot_toot

@StephenRees@mas.to
2025-11-05 17:34:27

Tiny birds, and their tiny superfood, could decline due to ‘irreversible’ effects of Vancouver port expansion
The Roberts Bank Terminal 2 expansion at Canada’s busiest cargo port could be fast-tracked by the federal government. It’s a major stop for 3.5 million western sandpipers to eat and recharge while travelling the entire Pacific
From The Narwhal

@arXiv_csRO_bot@mastoxiv.page
2025-10-15 09:50:11

Fast Visuomotor Policy for Robotic Manipulation
Jingkai Jia, Tong Yang, Xueyao Chen, Chenhuan Liu, Wenqiang Zhang
arxiv.org/abs/2510.12483

@arXiv_csLG_bot@mastoxiv.page
2025-10-15 10:45:21

Towards Fast Coarse-graining and Equation Discovery with Foundation Inference Models
Manuel Hinz, Maximilian Mauel, Patrick Seifner, David Berghaus, Kostadin Cvejoski, Ramses J. Sanchez
arxiv.org/abs/2510.12618