Zobrazeno 1 - 10 of 7 628 pro vyhledávání: '"A. Feigenbaum"'
1
Report
Causal Layering via Conditional Entropy
Autor: Feigenbaum, Itai, Arpit, Devansh, Wang, Huan, Heinecke, Shelby, Niebles, Juan Carlos, Yao, Weiran, Xiong, Caiming, Savarese, Silvio
Causal discovery aims to recover information about an unobserved causal graph from the observable data it generates. Layerings are orderings of the variables which place causes before effects. In this paper, we provide ways to recover layerings of a
Externí odkaz: http://arxiv.org/abs/2401.10495
Zobrazit plný text záznamu
2
Report
On the Unlikelihood of D-Separation
Autor: Feigenbaum, Itai, Wang, Huan, Heinecke, Shelby, Niebles, Juan Carlos, Yao, Weiran, Xiong, Caiming, Arpit, Devansh
Causal discovery aims to recover a causal graph from data generated by it; constraint based methods do so by searching for a d-separating conditioning set of nodes in the graph via an oracle. In this paper, we provide analytic evidence that on large
Externí odkaz: http://arxiv.org/abs/2303.05628
Zobrazit plný text záznamu
3
Report
Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data
Autor: Arpit, Devansh, Fernandez, Matthew, Feigenbaum, Itai, Yao, Weiran, Liu, Chenghao, Yang, Wenzhuo, Josel, Paul, Heinecke, Shelby, Hu, Eric, Wang, Huan, Hoi, Stephen, Xiong, Caiming, Zhang, Kun, Niebles, Juan Carlos
We introduce the Salesforce CausalAI Library, an open-source library for causal analysis using observational data. It supports causal discovery and causal inference for tabular and time series data, of discrete, continuous and heterogeneous types. Th
Externí odkaz: http://arxiv.org/abs/2301.10859
Zobrazit plný text záznamu
5
Report
From Data Leverage to Data Co-Ops: An Institutional Model for User Control over Information Access
Autor: Malchik, Caleb, Feigenbaum, Joan
Internet companies derive value from users by recording and influencing their behavior. Users can pressure companies to refrain from certain invasive and manipulative practices by selectively withdrawing their attention, an exercise of data leverage
Externí odkaz: http://arxiv.org/abs/2201.10677
Zobrazit plný text záznamu
6
Report
On Heuristic Models, Assumptions, and Parameters
Autor: Judson, Samuel, Feigenbaum, Joan
Insightful interdisciplinary collaboration is essential to the principled governance of complex technologies, like those produced by modern computing research and development. Technical research on the interaction between computation and society ofte
Externí odkaz: http://arxiv.org/abs/2201.07413
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje