Raman Sankaran

Staff Software Engineer, Google

Joined

July 2019

Names

Raman Sankaran

Emails

****@gmail.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Staff Software Engineer

Google (google.com)

2023 – Present

PhD student

Computer science and automation, Indian Institute of Science, Bangalore (iisc.ac.in)

2010 – 2018

MS student

Computer science and automation, Indian Institute of Science, Bangalore (iisc.ac.in)

2008 – 2010

Advisors, Relations & Conflicts

Coauthor

Arun Rajkumar

2019 – 2021

PhD Advisor

Chiranjib Bhattacharyya

2008 – 2018

Coauthor

Francis Bach

2014 – 2017

Expertise

large language models

2023 – Present

temporal modeling

2016 – Present

Convex optimization

2009 – Present

Regularization

2009 – Present

Publications

Learning With Subquadratic Regularization : A Primal-Dual Approach
Raman Sankaran, Francis R. Bach, Chiranjib Bhattacharyya
- 2020 (modified: 07 Oct 2024)
- IJCAI 2020
- Readers: Everyone
Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback.
Arun Verma, Manjesh K. Hanawal, Arun Rajkumar, Raman Sankaran
- 2019 (modified: 09 Nov 2022)
- NeurIPS2019
- Readers: Everyone
Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted L1-norms
Raman Sankaran, Francis R. Bach, Chiranjib Bhattacharyya
- 2017 (modified: 07 Oct 2024)
- AISTATS 2017
- Readers: Everyone
Spectral Norm Regularization of Orthonormal Representations for Graph Transduction
Rakesh Shivanna, Bibaswan K. Chatterjee, Raman Sankaran, Chiranjib Bhattacharyya, Francis R. Bach
- 2015 (modified: 11 Nov 2022)
- NIPS 2015
- Readers: Everyone
Controlled Sparsity Kernel Learning
Dinesh Govindaraj, Raman Sankaran, Sreedal Menon, Chiranjib Bhattacharyya
- 2014 (modified: 08 Nov 2022)
- CoRR 2014
- Readers: Everyone
Variable Sparsity Kernel Learning
Jonathan Aflalo, Aharon Ben-Tal, Chiranjib Bhattacharyya, Jagarlapudi Saketha Nath, Raman Sankaran
- 2011 (modified: 10 Jan 2025)
- J. Mach. Learn. Res. 2011
- Readers: Everyone
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation
Jagarlapudi Saketha Nath, G. Dinesh, Raman Sankaran, Chiranjib Bhattacharyya, Aharon Ben-Tal, K. R. Ramakrishnan
- 2009 (modified: 11 Nov 2022)
- NIPS 2009
- Readers: Everyone

Raman Sankaran

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Learning With Subquadratic Regularization : A Primal-Dual Approach

Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback.

Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted L1-norms

Spectral Norm Regularization of Orthonormal Representations for Graph Transduction

Controlled Sparsity Kernel Learning

Variable Sparsity Kernel Learning

On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation

Co-Authors