Rakesh Shivanna

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 8

Top Topics

Learning To Rank

Grows Quadratically

Top Venues

Publications

Kiran Vodrahalli, Rakesh Shivanna, Maheswaran Sathiamoorthy, Sagar Jain, Ed H. Chi
Algorithms for Efficiently Learning Low-Rank Neural Networks. CoRR (2022)
Rohan Anil, Sandra Gadanho, Da Huang, Nijith Jacob, Zhuoshu Li, Dong Lin, Todd Phillips, Cristina Pop, Kevin Regan, Gil I. Shamir, Rakesh Shivanna, Qiqi Yan
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models. ORSUM@RecSys (2022)
Rohan Anil, Sandra Gadanho, Da Huang, Nijith Jacob, Zhuoshu Li, Dong Lin, Todd Phillips, Cristina Pop, Kevin Regan, Gil I. Shamir, Rakesh Shivanna, Qiqi Yan
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models. CoRR (2022)
Ruoxi Wang, Rakesh Shivanna, Derek Zhiyuan Cheng, Sagar Jain, Dong Lin, Lichan Hong, Ed Chi
DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems. WWW (2021)
Jiaxi Tang, Rakesh Shivanna, Zhe Zhao, Dong Lin, Anima Singh, Ed H. Chi, Sagar Jain
Understanding and Improving Knowledge Distillation. CoRR (2020)
Ruoxi Wang, Rakesh Shivanna, Derek Zhiyuan Cheng, Sagar Jain, Dong Lin, Lichan Hong, Ed H. Chi
DCN-M: Improved Deep & Cross Network for Feature Cross Learning in Web-scale Learning to Rank Systems. CoRR (2020)
Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya
How Many Pairwise Preferences Do We Need to Rank a Graph Consistently? AAAI (2019)
Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya
How Many Pairwise Preferences Do We Need to Rank A Graph Consistently? CoRR (2018)
Rakesh Shivanna, Bibaswan K. Chatterjee, Raman Sankaran, Chiranjib Bhattacharyya, Francis R. Bach
Spectral Norm Regularization of Orthonormal Representations for Graph Transduction. NIPS (2015)
Rakesh Shivanna, Chiranjib Bhattacharyya
Learning on graphs using Orthonormal Representation is Statistically Consistent. NIPS (2014)