Accurate Streaming Support Vector Machines. - Vikram Nathan; Sharath Raghvendra (CoRR, 2014)

Hardware-Software Co-Design for Network Performance Measurement. - Srinivas Narayana; Anirudh Sivaraman; Vikram Nathan; Mohammad Alizadeh; David Walker 001; Jennifer Rexford; Vimalkumar Jeyakumar; Changhoon Kim (HotNets, 2016)

Hardness of peeling with stashes. - Michael Mitzenmacher; Vikram Nathan (Inf. Process. Lett., 2016)

Language-Directed Hardware Design for Network Performance Monitoring. - Srinivas Narayana; Anirudh Sivaraman; Vikram Nathan; Prateesh Goyal; Venkat Arun; Mohammad Alizadeh; Vimalkumar Jeyakumar; Changhoon Kim (SIGCOMM, 2017)

Demonstration of the Marple System for Network Performance Monitoring. - Vikram Nathan; Srinivas Narayana; Anirudh Sivaraman; Prateesh Goyal; Venkat Arun; Mohammad Alizadeh; Vimalkumar Jeyakumar; Changhoon Kim (SIGCOMM Posters and Demos, 2017)

Vesper: Measuring Time-to-Interactivity for Web Pages. - Ravi Netravali; Vikram Nathan; James Mickens; Hari Balakrishnan (NSDI, 2018)

SageDB: A Learned Database System. - Tim Kraska; Mohammad Alizadeh; Alex Beutel; Ed H. Chi; Ani Kristo; Guillaume Leclerc; Samuel Madden 001; Hongzi Mao; Vikram Nathan (CIDR, 2019)

Park: An Open Platform for Learning-Augmented Computer Systems. - Hongzi Mao; Parimarjan Negi; Akshay Narayan 001; Hanrui Wang 002; Jiacheng Yang; Haonan Wang; Ryan Marcus; Ravichandra Addanki; Mehrdad Khani Shirkoohi; Songtao He; Vikram Nathan; Frank Cangialosi; et al. (NeurIPS, 2019)

End-to-end transport for video QoE fairness. - Vikram Nathan; Vibhaalakshmi Sivaraman; Ravichandra Addanki; Mehrdad Khani Shirkoohi; Prateesh Goyal; Mohammad Alizadeh (SIGCOMM, 2019)

LISA: Towards Learned DNA Sequence Search. - Darryl Ho; Jialin Ding 001; Sanchit Misra; Nesime Tatbul; Vikram Nathan; Md. Vasimuddin; Tim Kraska (CoRR, 2019)

Learning Multi-Dimensional Indexes. - Vikram Nathan; Jialin Ding 001; Mohammad Alizadeh; Tim Kraska (SIGMOD Conference, 2020)

Cortex: Harnessing Correlations to Boost Query Performance. - Vikram Nathan; Jialin Ding 001; Tim Kraska; Mohammad Alizadeh (CoRR, 2020)

Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads. - Jialin Ding 001; Vikram Nathan; Mohammad Alizadeh; Tim Kraska (Proc. VLDB Endow., 2020)

SageDB: An Instance-Optimized Data Analytics System. - Jialin Ding 001; Ryan Marcus; Andreas Kipf; Vikram Nathan; Aniruddha Nrusimha; Kapil Vaidya; Alexander van Renen; Tim Kraska (Proc. VLDB Endow., 2022)

Building Instance Aware Systems using Explicit Performance Modeling. - Vikram Nathan (2022)

Forecasting Algorithms for Intelligent Resource Scaling: An Experimental Analysis. - Yanlei Diao; Dominik Horn; Andreas Kipf; Oleksandr Shchur; Ines Benito; Wenjian Dong; Davide Pagano; Pascal Pfeil; Vikram Nathan; Balakrishnan Narayanaswamy; Tim Kraska (SoCC, 2024)

Intelligent Scaling in Amazon Redshift. - Vikram Nathan; Vikramank Y. Singh; Zhengchun Liu; Mohammad Rahman; Andreas Kipf; Dominik Horn; Davide Pagano; Gaurav Saxena; Balakrishnan Narayanaswamy; Tim Kraska (SIGMOD Conference Companion, 2024)

Stage: Query Execution Time Prediction in Amazon Redshift. - Ziniu Wu; Ryan Marcus; Zhengchun Liu; Parimarjan Negi; Vikram Nathan; Pascal Pfeil; Gaurav Saxena; Mohammad Rahman; Balakrishnan Narayanaswamy; Tim Kraska (SIGMOD Conference Companion, 2024)