Shiv Kumar Saini

Orcid: 0000-0001-6568-7104

According to our database1, Shiv Kumar Saini authored at least 21 papers between 2014 and 2024.

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Bibliography

2024
Approximate Caching for Efficiently Serving Text-to-Image Diffusion Models.
Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

RECON: Training-Free Acceleration for Text-to-Image Synthesis with Retrieval of Concept Prompt Trajectories.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Approximate Caching for Efficiently Serving Diffusion Models.
CoRR, 2023

CausIL: Causal Graph for Instance Level Microservice Data.
Proceedings of the ACM Web Conference 2023, 2023

Outage-Watch: Early Prediction of Outages using Extreme Event Regularizer.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

ESRO: Experience Assisted Service Reliability against Outages.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Towards Optimizing Storage Costs on the Cloud.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
ViSRE: A Unified Visual Analysis Dashboard for Proactive Cloud Outage Management.
Proceedings of the Working Conference on Software Visualization, 2022

Root Cause Analysis of Failures in Microservices through Causal Discovery.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Revelio: ML-Generated Debugging Queries for Finding Root Causes in Distributed Systems.
Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

2021
Revelio: ML-Generated Debugging Queries for Distributed Systems.
CoRR, 2021

2020
Split: Inferring Unobserved Event Probabilities for Disentangling Brand-Customer Interactions.
CoRR, 2020

Modeling Causal Impact of Textual Style on a Targeted Goal.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Time Series Forecasting for Cold-Start Items by Learning from Related Items using Memory Networks.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Bayesian Estimation of the Effect of Television Advertising on Web Metrics.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019
Multiple Treatment Effect Estimation using Deep Generative Model with Task Embedding.
Proceedings of the World Wide Web Conference, 2019

2018
Sparse Decomposition for Time Series Forecasting and Anomaly Detection.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Modeling Hint-Taking Behavior and Knowledge State of Students with Multi-Task Learning.
Proceedings of the 11th International Conference on Educational Data Mining, 2018

2015
Probabilistic Deduplication of Anonymous Web Traffic.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

A Non-parametric Approach to the Multi-channel Attribution Problem.
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

2014
Estimating the incremental effects of interactions for marketing attribution.
Proceedings of the 2014 International Conference on Behavioral, 2014


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