Mathukumalli Vidyasagar

About Mathukumalli Vidyasagar

Mathukumalli Vidyasagar, With an exceptional h-index of 59 and a recent h-index of 26 (since 2020), a distinguished researcher at Indian Institute of Technology Hyderabad, specializes in the field of Machine learning, control theory, compressed sensing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Convergence of stochastic approximation via martingale and converse Lyapunov methods

A tutorial introduction to reinforcement learning

A prospective evaluation of breast thermography enhanced by a novel machine learning technique for screening breast abnormalities in a general population of women presenting to …

Deterministic Construction of Binary and Bipolar Measurement Matrices for Compressed Sensing Using BCH Codes

Convergence of momentum-based heavy ball method with batch updating and/or approximate gradients

Convergence Rates for Stochastic Approximation: Biased Noise with Unbounded Variance, and Applications

COVID-19 Pandemic in Malegaon: SUTRA over the Three Waves

Convergence of Batch Stochastic Gradient Descent Methods with Approximate Gradients and/or Noisy Measurements: Theory and Computational Results

Mathukumalli Vidyasagar Information

University

Position

SERB National Science Chair

Citations(all)

42795

Citations(since 2020)

6945

Cited By

36499

hIndex(all)

59

hIndex(since 2020)

26

i10Index(all)

177

i10Index(since 2020)

68

Email

University Profile Page

Indian Institute of Technology Hyderabad

Google Scholar

View Google Scholar Profile

Mathukumalli Vidyasagar Skills & Research Interests

Machine learning

control theory

compressed sensing

Top articles of Mathukumalli Vidyasagar

Title

Journal

Author(s)

Publication Date

Convergence of stochastic approximation via martingale and converse Lyapunov methods

Mathematics of Control, Signals, and Systems

M Vidyasagar

2023/1/23

A tutorial introduction to reinforcement learning

Mathukumalli Vidyasagar

2023/12/31

A prospective evaluation of breast thermography enhanced by a novel machine learning technique for screening breast abnormalities in a general population of women presenting to …

Frontiers in Artificial Intelligence

Richa Bansal

Sathiakar Collison

Lakshmi Krishnan

Bharat Aggarwal

Mathukumalli Vidyasagar

...

2023/1/4

Deterministic Construction of Binary and Bipolar Measurement Matrices for Compressed Sensing Using BCH Codes

Shashank Ranjan

M Vidyasagar

2023/12/18

Convergence of momentum-based heavy ball method with batch updating and/or approximate gradients

arXiv preprint arXiv:2303.16241

Tadipatri Uday Kiran Reddy

Mathukumalli Vidyasagar

2023/3/28

Convergence Rates for Stochastic Approximation: Biased Noise with Unbounded Variance, and Applications

arXiv preprint arXiv:2312.02828

Rajeeva L Karandikar

M Vidyasagar

2023/12/5

COVID-19 Pandemic in Malegaon: SUTRA over the Three Waves

Indian Journal of Microbiology

Prashant Shivgunde

Sapana Thakare

Sourav Sen

Madhuri Kanitkar

Manindra Agrawal

...

2023/9

Convergence of Batch Stochastic Gradient Descent Methods with Approximate Gradients and/or Noisy Measurements: Theory and Computational Results

arXiv e-prints

Rajeeva L Karandikar

Tadipatri Uday Kiran Reddy

M Vidyasagar

2022/9

Automated vascular analysis of breast thermograms with interpretable features

Journal of Medical Imaging

Siva Teja Kakileti

Raghav Shrivastava

Geetha Manjunath

Mathukumalli Vidyasagar

Axel Graewingholt

2022/7/1

A new converse Lyapunov theorem for global exponential stability and applications to stochastic approximation

M Vidyasagar

2022/12/6

Control Systems Synthesis: A Factorization Approach, Part II

Mathukumalli Vidyasagar

2022/6/1

New and explicit constructions of unbalanced Ramanujan bipartite graphs

The Ramanujan Journal

Shantanu Prasad Burnwal

Kaneenika Sinha

Mathukumalli Vidyasagar

2022/3

Estimating large causal polytrees from small samples

arXiv preprint arXiv:2209.07028

Sourav Chatterjee

Mathukumalli Vidyasagar

2022/9/15

Robot Modeling and Control, [Bookshelf]

IEEE CONTROL SYSTEMS MAGAZINE

Mark W Spong

Seth Hutchinson

M Vidyasagar

2022/2/1

Convergence of Batch Updating Methods with Approximate Gradients and/or Noisy Measurements: Theory and Computational Results

arXiv preprint arXiv:2209.05372

Tadipatri Uday Kiran Reddy

M Vidyasagar

2022/9/12

SUTRA: an approach to modelling pandemics with undetected (asymptomatic) patients, and applications to COVID-19

Manindra Agrawal

Madhuri Kanitkar

Mathukumalli Vidyasagar

2021/12/14

SUTRA: A Novel Approach to Modelling Pandemics with Asymptomatic and Undetected Patients, and Applications to COVID-19

arXiv preprint arXiv:2101.09158

Manindra Agrawal

Madhuri Kanitkar

Deepu Phillip

Tanima Hajra

Arti Singh

...

2021/1/22

Modified Error Bounds for Matrix Completion and Application to RL

IEEE Control Systems Letters

Shantanu Prasad Burnwal

Mathukumalli Vidyasagar

2021/12/8

SUTRA: An approach to modelling pandemics with asymptomatic patients, and applications to COVID-19

Manindra Agrawal

Madhuri Kanitkar

Mathukumalli Vidyasagar

2021/1/30

Reinforcement Learning and Empirical Processes

Mathukumalli Vidyasagar

2021/9/28

See List of Professors in Mathukumalli Vidyasagar University(Indian Institute of Technology Hyderabad)