127 citations · 129 across the 4 of their papers we have counts for
4 papers
Psychologically-Inspired Causal Prompts
Zhiheng Lyu, Zhijing Jin, Justus Mattern +3
NLP datasets are richer than just input-output pairs; rather, they carry causal relations between the input and output variables. In this work, we take sentiment classification as…
Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm
Hadi Daneshmand, Manuel Gomez-Rodriguez, Le Song +1
Information spreads across social and technological networks, but often the network structures are hidden from us and we only observe the traces left by the diffusion processes, ca…
Quantifying Information Overload in Social Media and its Impact on Social Contagions
Manuel Gomez Rodriguez, Krishna Gummadi, Bernhard Schoelkopf
Information overload has become an ubiquitous problem in modern society. Social media users and microbloggers receive an endless flow of information, often at a rate far higher tha…
On Causal and Anticausal Learning
Bernhard Schoelkopf, Dominik Janzing, Jonas Peters +3
We consider the problem of function estimation in the case where an underlying causal model can be inferred. This has implications for popular scenarios such as covariate shift, co…