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Shiv Saini

Principal Research Scientist

Bangalore

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.

Publications

ReCON: Training-Free Acceleration for Text-to-Image Synthesis with Retrieval of Concept Prompt Trajectories

Lu, C., Agarwal, S., Tanjim, M., Mahadik, K., Rao, A., Mitra, S., Saini, S., Bagchi, S., Chaterji, S. (Sep. 29, 2024)

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Approximate Caching for Efficiently Serving Diffusion Models

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

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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)

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ESRO: Experience Assisted Service Reliability against Outages

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

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CausIL: Causal Graph for Instance Level Microservice Data

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

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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)

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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)

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Modeling Causal Impact of Textual Style on a Targeted Goal

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

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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)

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Multiple Treatment Effect Estimation using Deep Generative Model with Task Embedding

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

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

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

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Sparse Decomposition for Time Series Forecasting and Anomaly Detection

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

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

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

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

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

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Probabilistic Deduplication of Anonymous Web Traffic

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

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Estimating the incremental effects of interactions for marketing attribution

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

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