Search Results for author: K. Selcuk Candan

Found 2 papers, 0 papers with code

Evaluation Methods and Measures for Causal Learning Algorithms

no code implementations7 Feb 2022 Lu Cheng, Ruocheng Guo, Raha Moraffah, Paras Sheth, K. Selcuk Candan, Huan Liu

To bridge from conventional causal inference (i. e., based on statistical methods) to causal learning with big data (i. e., the intersection of causal inference and machine learning), in this survey, we review commonly-used datasets, evaluation methods, and measures for causal learning using an evaluation pipeline similar to conventional machine learning.

BIG-bench Machine Learning Causal Inference

iSparse: Output Informed Sparsification of Neural Networks

no code implementations25 Sep 2019 Yash Garg, K. Selcuk Candan

We note that many successful networks nevertheless often contain large numbers of redundant edges.


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