Learning on graphs using Orthonormal Representation is Statistically Consistent. - Rakesh Shivanna; Chiranjib Bhattacharyya (NIPS, 2014)

Spectral Norm Regularization of Orthonormal Representations for Graph Transduction. - Rakesh Shivanna; Bibaswan K. Chatterjee; Raman Sankaran; Chiranjib Bhattacharyya; Francis R. Bach (NIPS, 2015)

How Many Pairwise Preferences Do We Need to Rank a Graph Consistently? - Aadirupa Saha; Rakesh Shivanna; Chiranjib Bhattacharyya (AAAI, 2019)

Understanding and Improving Knowledge Distillation. - Jiaxi Tang; Rakesh Shivanna; Zhe Zhao 001; Dong Lin; Anima Singh; Ed H. Chi; Sagar Jain (CoRR, 2020)

DCN-M: Improved Deep & Cross Network for Feature Cross Learning in Web-scale Learning to Rank Systems. - Ruoxi Wang; Rakesh Shivanna; Derek Zhiyuan Cheng; Sagar Jain; Dong Lin; Lichan Hong; Ed H. Chi (CoRR, 2020)

DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems. - Ruoxi Wang; Rakesh Shivanna; Derek Zhiyuan Cheng; Sagar Jain; Dong Lin; Lichan Hong; Ed H. Chi (WWW, 2021)

On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models. - Rohan Anil; Sandra Gadanho; Da Huang; Nijith Jacob; Zhuoshu Li; Dong Lin; Todd Phillips; Cristina Pop 006; Kevin Regan 001; Gil I. Shamir; Rakesh Shivanna; Qiqi Yan (ORSUM@RecSys, 2022)

Algorithms for Efficiently Learning Low-Rank Neural Networks. - Kiran Vodrahalli; Rakesh Shivanna; Maheswaran Sathiamoorthy; Sagar Jain; Ed H. Chi (CoRR, 2022)

Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries. - Kiran Vodrahalli; Santiago Ontanon; Nilesh Tripuraneni; Kelvin Xu; Sanil Jain; Rakesh Shivanna; Jeffrey Hui; Nishanth Dikkala; Mehran Kazemi; Bahare Fatemi; Rohan Anil; Ethan Dyer; et al. (CoRR, 2024)

A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs. - Ankit Singh Rawat; Veeranjaneyulu Sadhanala; Afshin Rostamizadeh; Ayan Chakrabarti; Wittawat Jitkrittum; Vladimir Feinberg; Seungyeon Kim 001; Hrayr Harutyunyan; Nikunj Saunshi; Zachary Nado; Rakesh Shivanna; Sashank J. Reddi; et al. (CoRR, 2024)

Gemma 3 Technical Report. - Aishwarya Kamath; Johan Ferret; Shreya Pathak; Nino Vieillard; Ramona Merhej; Sarah Perrin; Tatiana Matejovicova; Alexandre Ramé; Morgane Rivière; Louis Rouillard; Thomas Mesnard; Geoffrey Cideron; et al. (CoRR, 2025)