Tootfinder

"Krass günstige Preise": Amazon greift Temu mit Billig-Shop Haul an
Schnürsenkel, Handyhüllen, Shorts: Auf Amazon Haul verkauft der Online-Händler Billig-Produkte, um die Shopping-Gier seiner Nutzer zu sättigen. Vorbild: Temu.

Learning Joint Interventional Effects from Single-Variable Interventions in Additive Models
Armin Keki\'c, Sergio Hernan Garrido Mejia, Bernhard Sch\"olkopf
https://arxiv.org/abs/2506.04945

Learning Joint Interventional Effects from Single-Variable Interventions in Additive Models
Estimating causal effects of joint interventions on multiple variables is crucial in many domains, but obtaining data from such simultaneous interventions can be challenging. Our study explores how to learn joint interventional effects using only observational data and single-variable interventions. We present an identifiability result for this problem, showing that for a class of nonlinear additive outcome mechanisms, joint effects can be inferred without access to joint interventional data. W…

Das passiert, wenn du die Hamas kritisierst.
"Vor allem Zamory wurde als „Heuchler“ beschimpft, als er an die Verbrechen der Hamas erinnerte und daran, dass die Terrororganisation die palästinensische Bevölkerung als Schutzschild missbrauche. Er habe bei seinen Vorrednern die Forderung vermisst, „befreit Gaza von der Hamas“, sagte er."

Hunderte demonstrieren in Hamburg gegen Gaza-Krieg – Redner ausgebuht
Zerstörung, Hunger und Zehntausende Tote. Die Art der Kriegsführung im Gazastreifen lässt Zweifel aufkommen, ob sie noch durch das

Latent Variable Autoregression with Exogenous Inputs
Daniil Bargman
https://arxiv.org/abs/2506.04488 https://arxiv.org/pdf/2506.04488…

Latent Variable Autoregression with Exogenous Inputs
This paper introduces a new least squares regression methodology called (C)LARX: a (constrained) latent variable autoregressive model with exogenous inputs. Two additional contributions are made as a side effect: First, a new matrix operator is introduced for matrices and vectors with blocks along one dimension; Second, a new latent variable regression (LVR) framework is proposed for economics and finance. The empirical section examines how well the stock market predicts real economic activity …

The proper way to do this for a blind student would surely be some kind of physical manipulatives, not verbal descriptions. The thing is, I don’t have any blind students currently, and if I did, we’d work on individual accommodation and assistance.
With this alt text, I’m just trying to get •something• in there to be at least minimally accessible: head start on those accommodation, something helpful if I ever share this online, etc. If there’s any way for text to convey the spatial relationships, that would be better than the text I have.

This https://arxiv.org/abs/2506.03896 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

FLIP: Flowability-Informed Powder Weighing
Autonomous manipulation of powders remains a significant challenge for robotic automation in scientific laboratories. The inherent variability and complex physical interactions of powders in flow, coupled with variability in laboratory conditions necessitates adaptive automation. This work introduces FLIP, a flowability-informed powder weighing framework designed to enhance robotic policy learning for granular material handling. Our key contribution lies in using material flowability, quantifie…

Manchmal fühlt sich die Lektüre an wie der obere Teil eines Postits in einem Buch, ab und an wie der untere Teil.

‼️Die #Petition
"Verpflichtende Vorschriften zur Verwendung von Vogelschutzfolien an Glasfronten für Bestands- und Neubauten vom 28.04.2025"
hat bisher 53 Mitzeichnungen.
Es fehlen noch 29947 Unterschriften bis zum 08.07.2025.

Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants
Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar Mathias Drton, Negar Kiyavash
https://arxiv.org/abs/2506.05202

Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants
This paper investigates causal effect identification in latent variable Linear Non-Gaussian Acyclic Models (lvLiNGAM) using higher-order cumulants, addressing two prominent setups that are challenging in the presence of latent confounding: (1) a single proxy variable that may causally influence the treatment and (2) underspecified instrumental variable cases where fewer instruments exist than treatments. We prove that causal effects are identifiable with a single proxy or instrument and provide…

Nonlinear Causal Discovery for Grouped Data
Konstantin G\"obler, Tobias Windisch, Mathias Drton
https://arxiv.org/abs/2506.05120 https://

Nonlinear Causal Discovery for Grouped Data
Inferring cause-effect relationships from observational data has gained significant attention in recent years, but most methods are limited to scalar random variables. In many important domains, including neuroscience, psychology, social science, and industrial manufacturing, the causal units of interest are groups of variables rather than individual scalar measurements. Motivated by these applications, we extend nonlinear additive noise models to handle random vectors, establishing a two-step …