Unicorn: Reasoning about Configurable System Performance through the lens of Causality

20 January 2022

Papers citing "Unicorn: Reasoning about Configurable System Performance through the lens of Causality"

7 / 7 papers shown

Title
Predicting Configuration Performance in Multiple Environments with Sequential Meta-learning Jingzhi Gong Tao Chen 17 7 0 05 Feb 2024
The Effect of Human v/s Synthetic Test Data and Round-tripping on Assessment of Sentiment Analysis Systems for Bias Kausik Lakkaraju Aniket Gupta Biplav Srivastava Marco Valtorta Dezhi Wu 29 2 0 15 Jan 2024
Can LLMs Configure Software Tools Jai Kannan 18 1 0 11 Dec 2023
Towards Causal Deep Learning for Vulnerability Detection Md. Mahbubur Rahman Ira Ceka Chengzhi Mao Saikat Chakraborty Baishakhi Ray Wei Le 18 10 0 12 Oct 2023
IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency Saeid Ghafouri Kamran Razavi Mehran Salmani Alireza Sanaee T. Lorido-Botran Lin Wang Joseph Doyle Pooyan Jamshidi 27 2 0 24 Aug 2023
Rating Sentiment Analysis Systems for Bias through a Causal Lens Kausik Lakkaraju Biplav Srivastava Marco Valtorta 26 7 0 04 Feb 2023
Applications of statistical causal inference in software engineering Julien Siebert CML 30 31 0 21 Nov 2022