Shiv Saini

Principal Research Scientist


I work in the areas of time series modelling and causal inference in observational data. I have applied these tools for modelling user behavior, marketing attribution root cause analysis, and anomaly detection. My recent research focuses on developing techniques to improve reliability of micro services by forecasting future outages and reducing time to detect root cause of ongoing outages.


Approximate Caching for Efficiently Serving Diffusion Models

Agarwal, S., Mitra, S., Chakraborty, S., Karanam, S., Mukherjee, K., Saini, S. (Apr. 16, 2024)

USENIX Symposium on Networked Systems Design and Implementation (NSDI)

Outage-Watch: Early Prediction of Outages using Extreme Event Regularizer

Agarwal, S., Chakraborty, S., Garg, S., Bisht, S., Jain, C., Gonuguntla, A., Saini, S. (Dec. 6, 2023)

Foundations of Software Engineering (ESEC/FSE)

ESRO: Experience Assisted Service Reliability against Outages

Chakraborty, S., Agarwal, S., Garg, S., Sethia, A., Pandey, U., Aggarwal, V., Saini, S. (Sep. 14, 2023)

Automated Software Engineering (ASE)

CausIL: Causal Graph for Instance Level Microservice Data

Chakraborty, S., Agarwal, S., Garg, S., Chauhan, A., Saini, S. (Apr. 30, 2023)

Proceedings of the Web Conference (WWW)

Towards Optimizing Storage Costs on the Cloud

Mukherjee, K., shah, R., Saini, S., Singh, K., ., K., Kesarwani, H., Barnwal, K., Chauhan, A., Mukherjee, M. (Apr. 4, 2023)

International Conference on Data Engineering (ICDE)

ViSRE: A Unified Visual Analysis Dashboard for Proactive Cloud Outage Management

Kayongo, P., Hoffswell, J., Saini, S., Garg, S., Koh, E., Wang, H., Jacobs, T. (Oct. 2, 2022)

IEEE Working Conference on Software Visualization (VISSOFT)

Modeling Causal Impact of Textual Style on a Targeted Goal

Verma, G., Srinivasan, B., Saini, S., Chhaya, N. (Apr. 20, 2020)

The Web Conference (WebConf) - Poster

Time Series Forecasting for Cold-Start Items by Learning from Related Items using Memory Networks

Chauhan, A., Prasad*, A., Gupta*, P., Reddy*, A., Saini, S. (Apr. 20, 2020)

The Web Conference (WebConf) - Poster

Multiple Treatment Effect Estimation using Deep Generative Model with Task Embedding

Saini, S., Dhamnani, S., S, A., Ibrahim, A., Chavan, P. (May. 13, 2019)

In The World Wide Web Conference

Modeling Hint-Taking Behavior and Knowledge State of Students with Multi-Task Learning

Chaudhry, R., Singh, H., Dogga, P., Saini, S. (Jul. 15, 2018)

International Conference on Educational Data Mining

Sparse Decomposition for Time Series Forecasting and Anomaly Detection

Choudhary, S., Hiranandani, G., Saini, S. (May. 3, 2018)

Proceedings of the 2018 SIAM International Conference on Data Mining (SDM)

A Non-parametric Approach to the Multi-channel Attribution Problem

Yadagiri, M., Saini, S., Sinha, R. (Nov. 1, 2015)

Web Information Systems Engineering – WISE 2015

A non-parametric approach to the Multi-channel attribution problem

Yadagiri, M., Saini, S., Sinha, R. (Nov. 1, 2015)

WISE 2015 – 16th International Conference on Web Information System Engineering

Probabilistic Deduplication of Anonymous Web Traffic

Roy, R., Sinha, R., Chhaya, N., Saini, S. (May. 18, 2015)

24th International World Wide Web Conference (WWW '15) Posters

Estimating the incremental effects of interactions for marketing attribution

Sinha, R., Natarajan, A., Saini, S. (Oct. 30, 2014)

International Conference on Behavior, Economic and Social Computing (BESC)