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Dr Saketha Nath J

vidwan id: 107568
Male

Associate Professor, Department of Computer Science and Engineering
Indian Institute of Technology Hyderabad

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 21
Books 0
Proceedings 0

Publications

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Scopus

Citations 375
h-index 13

CrossRef

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Citations 112
h-index 6
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Bio

My research interest primarily is in the area of Machine Learning, with focus on Kernel methods The main theme in most of my works is formalizing novel learning settings as optimization problems that have theoretical guarantees and can be applied to diverse applications The key tools that I leverage in the context of learning are Optimization and Statistics I am currently pursuing projects on i) Optimal Transport ii) Extreme Classification iii) other collaborations with folks in IISc, IITB, and

Personal Details

  • Male
  • Associate Professor , Indian Institute of Technology Hyderabad
  • Indian Institute of Technology Hyderabad, main road, Kandi
Ph.D
Other Institute 2007
Associate Professor Jul 2017 – Present
Indian Institute of Technology Hyderabad | Department of Computer Science and Engineering

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Co-Authors (10)

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Dr Arun Iyer

Indian Institute of Technology Bombay

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Prof Chiranjib Bhattacharyya

Indian Institute of Science Bangalore

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Prof Ganesh Ramkrishnan

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Prof Karthik Raman

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Narasimha M. Murty

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Scholarly Work

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Scholarly Publications

Understanding flux switching in metabolic networks through an analysis of synthetic lethals

Open Access
Article

Statistical optimal transport posed as learning kernel mean embedding

Open Access
Conference Paper
Authors: Nath J.S.;Jawanpuria P.
5

Optimizing DNN Architectures for High Speed Autonomous Navigation in GPS Denied Environments on Edge Devices

Open Access
Conference Paper
Authors: Prakash P.;Murti C.;Nath S.;Bhattacharyya C.

Privacy-preserving class ratio estimation

Open Access
Conference Paper

Generalized hierarchical kernel learning

Open Access
Article
Authors: Jawanpuria P.;Nath J.S.;Ramakrishnan G.
17

On p-norm path following in multiple kernel learning for non-linear feature selection

Open Access
Conference Paper
Authors: Jawanpuria P.;Varma M.;Nath J.S.
19

Maximum mean discrepancy for class ratio estimation: Convergence bounds and kernel selection

Open Access
Conference Paper
Authors: Iyer A.;Nath S.;Sarawagi S.
28

Robust formulations for clustering-based large-scale classification

Open Access
Article