Estimating the incremental effects of interactions for marketing attribution. - Ritwik Sinha; Shiv Kumar Saini; N. Anadhavelu (BESC, 2014)

A Non-parametric Approach to the Multi-channel Attribution Problem. - Meghanath Macha Yadagiri; Shiv Kumar Saini; Ritwik Sinha (WISE (1), 2015)

Probabilistic Deduplication of Anonymous Web Traffic. - Rishiraj Saha Roy; Ritwik Sinha; Niyati Chhaya; Shiv Kumar Saini (WWW (Companion Volume), 2015)

Modeling Hint-Taking Behavior and Knowledge State of Students with Multi-Task Learning. - Harvineet Singh; Shiv Kumar Saini; Ritwick Chaudhry; Pradeep Dogga (EDM, 2018)

Sparse Decomposition for Time Series Forecasting and Anomaly Detection. - Sunav Choudhary; Gaurush Hiranandani; Shiv Kumar Saini (SDM, 2018)

Multiple Treatment Effect Estimation using Deep Generative Model with Task Embedding. - Shiv Kumar Saini; Sunny Dhamnani; Aakash Srinivasan; Akil Arif Ibrahim; Prithviraj Chavan (WWW, 2019)

Bayesian Estimation of the Effect of Television Advertising on Web Metrics. - Ritwik Sinha; Shiv Kumar Saini; Moumita Sinha; David Arbour (DSAA, 2020)

Time Series Forecasting for Cold-Start Items by Learning from Related Items using Memory Networks. - Ayush Chauhan; Archiki Prasad; Parth Gupta; Prashanth Amireddy; Shiv Kumar Saini (WWW (Companion Volume), 2020)

Modeling Causal Impact of Textual Style on a Targeted Goal. - Gaurav Verma; Balaji Vasan Srinivasan; Shiv Kumar Saini; Niyati Chhaya (WWW (Companion Volume), 2020)

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

Revelio: ML-Generated Debugging Queries for Distributed Systems. - Pradeep Dogga; Karthik Narasimhan; Anirudh Sivaraman; Shiv Kumar Saini; George Varghese; Ravi Netravali (CoRR, 2021)

Revelio: ML-Generated Debugging Queries for Finding Root Causes in Distributed Systems. - Pradeep Dogga; Karthik Narasimhan; Anirudh Sivaraman; Shiv Kumar Saini; George Varghese; Ravi Netravali (MLSys, 2022)

Root Cause Analysis of Failures in Microservices through Causal Discovery. - Azam Ikram; Sarthak Chakraborty; Subrata Mitra; Shiv Kumar Saini; Saurabh Bagchi; Murat Kocaoglu (NeurIPS, 2022)

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)

Towards Optimizing Storage Costs on the Cloud. - Koyel Mukherjee; Raunak Shah; Shiv Kumar Saini; Karanpreet Singh; Khushi; Harsh Kesarwani; Kavya Barnwal; Ayush Chauhan (ICDE, 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)

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)

Approximate Caching for Efficiently Serving Diffusion Models. - Shubham Agarwal 007; Subrata Mitra; Sarthak Chakraborty; Srikrishna Karanam; Koyel Mukherjee; Shiv Kumar Saini (CoRR, 2023)

RECON: Training-Free Acceleration for Text-to-Image Synthesis with Retrieval of Concept Prompt Trajectories. - Chen-Yi Lu; Shubham Agarwal 007; Md. Mehrab Tanjim; Kanak Mahadik; Anup B. Rao; Subrata Mitra; Shiv Kumar Saini; Saurabh Bagchi; Somali Chaterji (ECCV (59), 2024)

Approximate Caching for Efficiently Serving Text-to-Image Diffusion Models. - Shubham Agarwal 007; Subrata Mitra; Sarthak Chakraborty; Srikrishna Karanam; Koyel Mukherjee; Shiv Kumar Saini (NSDI, 2024)

Tab-Shapley: Identifying Top-k Tabular Data Quality Insights. - Manisha Padala; Lokesh Nagalapatti; Atharv Tyagi; Ramasuri Narayanam; Shiv Kumar Saini (AAAI, 2025)

Root Cause Analysis of Failures from Partial Causal Structures. - Azam Ikram; Kenneth Lee; Shubham Agarwal 007; Shiv Kumar Saini; Saurabh Bagchi; Murat Kocaoglu (UAI, 2025)

Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation. - Shubham Agarwal 007; Sai Sundaresan; Subrata Mitra; Debabrata Mahapatra; Archit Gupta; Rounak Sharma; Nirmal Joshua Kapu; Tong Yu 001; Shiv Kumar Saini (Proc. ACM Manag. Data, 2025)