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ORCIDShiv Kumar Saini
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2020 – today
- 2024
[c17]Shubham Agarwal, Subrata Mitra, Sarthak Chakraborty, Srikrishna Karanam, Koyel Mukherjee, Shiv Kumar Saini:
Approximate Caching for Efficiently Serving Text-to-Image Diffusion Models. NSDI 2024- 2023
- [c16]Koyel Mukherjee, Raunak Shah, Shiv Kumar Saini, Karanpreet Singh, Khushi, Harsh Kesarwani, Kavya Barnwal, Ayush Chauhan:
Towards Optimizing Storage Costs on the Cloud. ICDE 2023: 2919-2932 - [c15]Sarthak Chakraborty, Shubham Agarwal, Shaddy Garg, Abhimanyu Sethia, Udit Narayan Pandey, Videh Aggarwal, Shiv Kumar Saini:
ESRO: Experience Assisted Service Reliability against Outages. ASE 2023: 255-267 - [c14]Shubham Agarwal
, Sarthak Chakraborty, Shaddy Garg, Sumit Bisht, Chahat Jain, Ashritha Gonuguntla, Shiv Kumar Saini:
Outage-Watch: Early Prediction of Outages using Extreme Event Regularizer. ESEC/SIGSOFT FSE 2023: 682-694 - [c13]Sarthak Chakraborty, Shaddy Garg, Shubham Agarwal, Ayush Chauhan, Shiv Kumar Saini:
CausIL: Causal Graph for Instance Level Microservice Data. WWW 2023: 2905-2915 - [i7]Sarthak Chakraborty, Shaddy Garg, Shubham Agarwal, Ayush Chauhan, Shiv Kumar Saini:
CausIL: Causal Graph for Instance Level Microservice Data. CoRR abs/2303.00554 (2023) - [i6]Koyel Mukherjee, Raunak Shah, Shiv Kumar Saini, Karanpreet Singh, Khushi, Harsh Kesarwani, Kavya Barnwal, Ayush Chauhan:
Towards Optimizing Storage Costs on the Cloud. CoRR abs/2305.14818 (2023) - [i5]Sarthak Chakraborty, Shubham Agarwal, Shaddy Garg, Abhimanyu Sethia, Udit Narayan Pandey, Videh Aggarwal, Shiv Kumar Saini:
ESRO: Experience Assisted Service Reliability against Outages. CoRR abs/2309.07230 (2023) - [i4]Shubham Agarwal, Sarthak Chakraborty, Shaddy Garg, Sumit Bisht, Chahat Jain, Ashritha Gonuguntla, Shiv Kumar Saini:
Outage-Watch: Early Prediction of Outages using Extreme Event Regularizer. CoRR abs/2309.17340 (2023) - [i3]Shubham Agarwal, Subrata Mitra, Sarthak Chakraborty, Srikrishna Karanam, Koyel Mukherjee, Shiv Kumar Saini:
Approximate Caching for Efficiently Serving Diffusion Models. CoRR abs/2312.04429 (2023) - 2022
- [c12]Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman, Shiv Kumar Saini, George Varghese, Ravi Netravali:
Revelio: ML-Generated Debugging Queries for Finding Root Causes in Distributed Systems. MLSys 2022 - [c11]Azam Ikram, Sarthak Chakraborty, Subrata Mitra, Shiv Kumar Saini, Saurabh Bagchi, Murat Kocaoglu:
Root Cause Analysis of Failures in Microservices through Causal Discovery. NeurIPS 2022 - [c10]Paula Kayongo, Jane Hoffswell, Shiv Kumar Saini, Shaddy Garg, Eunyee Koh, Haoliang Wang, Tom Jacobs:
ViSRE: A Unified Visual Analysis Dashboard for Proactive Cloud Outage Management. VISSOFT 2022: 5-16 - 2021
- [i2]Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman, Shiv Kumar Saini, George Varghese, Ravi Netravali:
Revelio: ML-Generated Debugging Queries for Distributed Systems. CoRR abs/2106.14347 (2021) - 2020
- [c9]Ritwik Sinha, Shiv Kumar Saini, Moumita Sinha, David Arbour:
Bayesian Estimation of the Effect of Television Advertising on Web Metrics. DSAA 2020: 777-778 - [c8]Gaurav Verma, Balaji Vasan Srinivasan, Shiv Kumar Saini, Niyati Chhaya:
Modeling Causal Impact of Textual Style on a Targeted Goal. WWW (Companion Volume) 2020: 59-60 - [c7]Ayush Chauhan, Archiki Prasad, Parth Gupta, Prashanth Amireddy, Shiv Kumar Saini:
Time Series Forecasting for Cold-Start Items by Learning from Related Items using Memory Networks. WWW (Companion Volume) 2020: 120-121 - [i1]Ayush Chauhan, Aditya Anand, Shaddy Garg, Sunny Dhamnani, Shiv Kumar Saini:
Split: Inferring Unobserved Event Probabilities for Disentangling Brand-Customer Interactions. CoRR abs/2012.04445 (2020)
2010 – 2019
- 2019
- [c6]Shiv Kumar Saini, Sunny Dhamnani, Aakash Srinivasan, Akil Arif Ibrahim, Prithviraj Chavan:
Multiple Treatment Effect Estimation using Deep Generative Model with Task Embedding. WWW 2019: 1601-1611 - 2018
- [c5]Harvineet Singh, Shiv Kumar Saini, Ritwick Chaudhry, Pradeep Dogga:
Modeling Hint-Taking Behavior and Knowledge State of Students with Multi-Task Learning. EDM 2018 - [c4]Sunav Choudhary, Gaurush Hiranandani, Shiv Kumar Saini:
Sparse Decomposition for Time Series Forecasting and Anomaly Detection. SDM 2018: 522-530 - 2015
- [c3]Meghanath Macha Yadagiri, Shiv Kumar Saini, Ritwik Sinha:
A Non-parametric Approach to the Multi-channel Attribution Problem. WISE (1) 2015: 338-352 - [c2]Rishiraj Saha Roy, Ritwik Sinha, Niyati Chhaya, Shiv Kumar Saini:
Probabilistic Deduplication of Anonymous Web Traffic. WWW (Companion Volume) 2015: 103-104 - 2014
- [c1]Ritwik Sinha, Shiv Kumar Saini, N. Anadhavelu:
Estimating the incremental effects of interactions for marketing attribution. BESC 2014: 116-121
Coauthor Index
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