2 citations · 3 across the 13 of their papers we have counts for
4 papers · 1 filter
An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis
Goutham Rajendran, Patrik Reizinger, Wieland Brendel +1
We investigate the relationship between system identification and intervention design in dynamical systems. While previous research demonstrated how identifiable representation lea…
Responsible AI (RAI) Games and Ensembles
Yash Gupta, Runtian Zhai, Arun Suggala +1
Several recent works have studied the societal effects of AI; these include issues such as fairness, robustness, and safety. In many of these objectives, a learner seeks to minimiz…
Sample based Explanations via Generalized Representers
Che-Ping Tsai, Chih-Kuan Yeh, Pradeep Ravikumar
We propose a general class of sample based explanations of machine learning models, which we term generalized representers. To measure the effect of a training sample on a model's…
Identifying Representations for Intervention Extrapolation
Sorawit Saengkyongam, Elan Rosenfeld, Pradeep Ravikumar +2
The premise of identifiable and causal representation learning is to improve the current representation learning paradigm in terms of generalizability or robustness. Despite recent…