Split: Inferring Unobserved Event Probabilities for Disentangling Brand-Customer Interactions. - Ayush Chauhan; Aditya Anand 001; Shaddy Garg; Sunny Dhamnani; Shiv Kumar Saini (CoRR, 2020)

ViSRE: A Unified Visual Analysis Dashboard for Proactive Cloud Outage Management. - Paula Kayongo; Jane Hoffswell; Shiv Kumar Saini; Shaddy Garg; Eunyee Koh; Haoliang Wang; Tom Jacobs (VISSOFT, 2022)

Reinforced Approximate Exploratory Data Analysis. - Shaddy Garg; Subrata Mitra; Tong Yu 001; Yash Gadhia; Arjun Kashettiwar (AAAI, 2023)

ESRO: Experience Assisted Service Reliability against Outages. - Sarthak Chakraborty; Shubham Agarwal 007; Shaddy Garg; Abhimanyu Sethia; Udit Narayan Pandey; Videh Aggarwal; Shiv Kumar Saini (ASE, 2023)

Fast Natural Language Based Data Exploration with Samples. - Shubham Agarwal 007; Gromit Yeuk-Yin Chan; Shaddy Garg; Tong Yu 001; Subrata Mitra (SIGMOD Conference Companion, 2023)

Outage-Watch: Early Prediction of Outages using Extreme Event Regularizer. - Shubham Agarwal 007; Sarthak Chakraborty; Shaddy Garg; Sumit Bisht; Chahat Jain; Ashritha Gonuguntla; Shiv Kumar Saini (ESEC/SIGSOFT FSE, 2023)

CausIL: Causal Graph for Instance Level Microservice Data. - Sarthak Chakraborty; Shaddy Garg; Shubham Agarwal 007; Ayush Chauhan; Shiv Kumar Saini (WWW, 2023)