Shiv Kumar Saini

31 papers A* 6A 2B 3Misc 1Journal 10Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation.
CoRR
Shubham Agarwal, Sai Sundaresan, Subrata Mitra, Debabrata Mahapatra, Archit Gupta, Rounak Sharma, Nirmal Joshua Kapu, Tong Yu, Shiv Kumar Saini
2025 J jnl
Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation.
Proc. ACM Manag. Data
Shubham Agarwal, Sai Sundaresan, Subrata Mitra, Debabrata Mahapatra, Archit Gupta, Rounak Sharma, Nirmal Joshua Kapu, Tong Yu, Shiv Kumar Saini
2025 A conf
Root Cause Analysis of Failures from Partial Causal Structures.
UAI
Azam Ikram, Kenneth Lee, Shubham Agarwal, Shiv Kumar Saini, Saurabh Bagchi, Murat Kocaoglu
2025 — conf
TTD-SQL: Tree-Guided Token Decoding for Efficient and Schema-Aware SQL Generation.
EMNLP (Industry Track)
Chetan Sharma, Ramasuri Narayanam, Soumyabrata Pal, Kalidas Yeturu, Shiv Kumar Saini, Koyel Mukherjee
2025 A* conf
Tab-Shapley: Identifying Top-k Tabular Data Quality Insights.
AAAI
Manisha Padala, Lokesh Nagalapatti, Atharv Tyagi, Ramasuri Narayanam, Shiv Kumar Saini
2025 J jnl
Tab-Shapley: Identifying Top-k Tabular Data Quality Insights.
CoRR
Manisha Padala, Lokesh Nagalapatti, Atharv Tyagi, Ramasuri Narayanam, Shiv Kumar Saini
2024 Misc conf
Approximate Caching for Efficiently Serving Text-to-Image Diffusion Models.
NSDI
Shubham Agarwal, Subrata Mitra, Sarthak Chakraborty, Srikrishna Karanam, Koyel Mukherjee, Shiv Kumar Saini
2024 — conf
RECON: Training-Free Acceleration for Text-to-Image Synthesis with Retrieval of Concept Prompt Trajectories.
ECCV (59)
Chen-Yi Lu, Shubham Agarwal, Md. Mehrab Tanjim, Kanak Mahadik, Anup B. Rao, Subrata Mitra, Shiv Kumar Saini, Saurabh Bagchi, Somali Chaterji
2023 J jnl
Approximate Caching for Efficiently Serving Diffusion Models.
CoRR
Shubham Agarwal, Subrata Mitra, Sarthak Chakraborty, Srikrishna Karanam, Koyel Mukherjee, Shiv Kumar Saini
2023 A* conf
CausIL: Causal Graph for Instance Level Microservice Data.
WWW
Sarthak Chakraborty, Shaddy Garg, Shubham Agarwal, Ayush Chauhan, Shiv Kumar Saini
2023 J jnl
CausIL: Causal Graph for Instance Level Microservice Data.
CoRR
Sarthak Chakraborty, Shaddy Garg, Shubham Agarwal, Ayush Chauhan, Shiv Kumar Saini
2023 A* conf
ESRO: Experience Assisted Service Reliability against Outages.
ASE
Sarthak Chakraborty, Shubham Agarwal, Shaddy Garg, Abhimanyu Sethia, Udit Narayan Pandey, Videh Aggarwal, Shiv Kumar Saini
2023 J jnl
ESRO: Experience Assisted Service Reliability against Outages.
CoRR
Sarthak Chakraborty, Shubham Agarwal, Shaddy Garg, Abhimanyu Sethia, Udit Narayan Pandey, Videh Aggarwal, Shiv Kumar Saini
2023 — conf
Outage-Watch: Early Prediction of Outages using Extreme Event Regularizer.
ESEC/SIGSOFT FSE
Shubham Agarwal, Sarthak Chakraborty, Shaddy Garg, Sumit Bisht, Chahat Jain, Ashritha Gonuguntla, Shiv Kumar Saini
2023 J jnl
Outage-Watch: Early Prediction of Outages using Extreme Event Regularizer.
CoRR
Shubham Agarwal, Sarthak Chakraborty, Shaddy Garg, Sumit Bisht, Chahat Jain, Ashritha Gonuguntla, Shiv Kumar Saini
2023 A* conf
Towards Optimizing Storage Costs on the Cloud.
ICDE
Koyel Mukherjee, Raunak Shah, Shiv Kumar Saini, Karanpreet Singh, Khushi, Harsh Kesarwani, Kavya Barnwal, Ayush Chauhan
2023 J jnl
Towards Optimizing Storage Costs on the Cloud.
CoRR
Koyel Mukherjee, Raunak Shah, Shiv Kumar Saini, Karanpreet Singh, Khushi, Harsh Kesarwani, Kavya Barnwal, Ayush Chauhan
2022 — conf
Revelio: ML-Generated Debugging Queries for Finding Root Causes in Distributed Systems.
MLSys
Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman, Shiv Kumar Saini, George Varghese, Ravi Netravali
2022 A* conf
Root Cause Analysis of Failures in Microservices through Causal Discovery.
NeurIPS
Azam Ikram, Sarthak Chakraborty, Subrata Mitra, Shiv Kumar Saini, Saurabh Bagchi, Murat Kocaoglu
2022 B conf
ViSRE: A Unified Visual Analysis Dashboard for Proactive Cloud Outage Management.
VISSOFT
Paula Kayongo, Jane Hoffswell, Shiv Kumar Saini, Shaddy Garg, Eunyee Koh, Haoliang Wang, Tom Jacobs
2021 J jnl
Revelio: ML-Generated Debugging Queries for Distributed Systems.
CoRR
Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman, Shiv Kumar Saini, George Varghese, Ravi Netravali
2020 B conf
Bayesian Estimation of the Effect of Television Advertising on Web Metrics.
DSAA
Ritwik Sinha, Shiv Kumar Saini, Moumita Sinha, David Arbour
2020 — conf
Modeling Causal Impact of Textual Style on a Targeted Goal.
WWW (Companion Volume)
Gaurav Verma, Balaji Vasan Srinivasan, Shiv Kumar Saini, Niyati Chhaya
2020 J jnl
Split: Inferring Unobserved Event Probabilities for Disentangling Brand-Customer Interactions.
CoRR
Ayush Chauhan, Aditya Anand, Shaddy Garg, Sunny Dhamnani, Shiv Kumar Saini
2020 — conf
Time Series Forecasting for Cold-Start Items by Learning from Related Items using Memory Networks.
WWW (Companion Volume)
Ayush Chauhan, Archiki Prasad, Parth Gupta, Prashanth Amireddy, Shiv Kumar Saini
2019 A* conf
Multiple Treatment Effect Estimation using Deep Generative Model with Task Embedding.
WWW
Shiv Kumar Saini, Sunny Dhamnani, Aakash Srinivasan, Akil Arif Ibrahim, Prithviraj Chavan
2018 B conf
Modeling Hint-Taking Behavior and Knowledge State of Students with Multi-Task Learning.
EDM
Harvineet Singh, Shiv Kumar Saini, Ritwick Chaudhry, Pradeep Dogga
2018 A conf
Sparse Decomposition for Time Series Forecasting and Anomaly Detection.
SDM
Sunav Choudhary, Gaurush Hiranandani, Shiv Kumar Saini
2015 — conf
A Non-parametric Approach to the Multi-channel Attribution Problem.
WISE (1)
Meghanath Macha Yadagiri, Shiv Kumar Saini, Ritwik Sinha
2015 — conf
Probabilistic Deduplication of Anonymous Web Traffic.
WWW (Companion Volume)
Rishiraj Saha Roy, Ritwik Sinha, Niyati Chhaya, Shiv Kumar Saini
2014 — conf
Estimating the incremental effects of interactions for marketing attribution.
BESC
Ritwik Sinha, Shiv Kumar Saini, N. Anadhavelu