Chhavi Sharma

Research Scholar (2017-Present)

Industrial Engineering and Operations Research, Indian Institute of Technology Bombay.

Research Interests

Convex and Nonconvex Optimization, Decentralized Optimization, Federated Learning, Machine Learning, Deep Learning.

Supervisors:

Academic Background

M.Sc-Ph.D. in Operations Research (2015- present), Industrial Engineering and Operations Research, IIT Bombay, Mumbai.
B.Sc (PCM), NAS College, Meerut.

Publications

Chhavi Sharma, Vishnu Narayanan, and P. Balamurugan. Decentralized Accelerated Gradient Methods with Restart under Quadratic Growth Condition. (Under review)
Chhavi Sharma, Vishnu Narayanan, and P. Balamurugan. Switch and Conquer: Efficient Algorithms by Switching Stochastic Gradient Oracles For Decentralized Saddle-Point Problems , To Appear in IEEE Conference on Decision and Control, 2023.
Chhavi Sharma, Vishnu Narayanan, and P. Balamurugan. Stochastic Gradient Methods with Compressed Communication for Decentralized Saddle Point Problems , NeurIPS workshop on Federated Learning: Recent Advances and New Challenges, 2022.
Chhavi Sharma, Vishnu Narayanan, and P. Balamurugan. Distributed Accelerated Inexact Proximal Gradient Method via System of Coupled Ordinary Differential Equations , NeurIPS workshop on Beyond first-order methods in ML, 2019.
Chhavi Sharma, Vishnu Narayanan, and P. Balamurugan. A Simple and Fast Distributed Accelerated gradient method , OPT ML workshop co-located with NeurIPS 2019.

Poster Presentations

Gave an invited talk in ARMS lab of Systems and Control Engineering department, IIT Bombay on the topic "Stochastic Gradient Methods with Compressed Communication for Decentralized Saddle Point Problems" (2022).
Presented a poster titled "A Simple and Fast Distributed Accelerated gradient method" at IITB CMInDS Workshop 2020.
Presented a poster titled "Distributed Optimization in Machine Learning" at IEOR Day 2018, IIT Bombay.

Internships/Summer Schools:

Attended and presented a poster at "Online Asian Machine Learning School (OAMLS) 2022", from Dec 8-10, and Dec 15-16, 2022.
Attended 'The Indo-French Center for Applied Mathematics (IFCAM) summer school on Mathematics for Data Science' at IISC, Bangalore from July 15-27, 2019.
Summer Internship under the supervision of Dr. Manoj Kumar , MNIT Allahabad from May- June 2016 "Neural Networks and their applications for solving ordinary differential equations."

Teaching Assistants

Artificial Intelligence and Machine Learning (AIML) CEP Batch 3, Autumn 2021 (Program offered by IITB for industry professionals).
Optimization Models: Autumn 2018, Autumn 2020, Autumn 2021.
Modeling and Computational Lab: Autumn 2017, Autumn 2019.
IEOR Lab: Spring 2020.
Linear Systems: Spring 2019, Spring 2021, Spring 2022.
IEOR for Health Care: Spring 2018.
Mentor of Machine Learning course in Summer of Science 2018, Maths and Physics Club , IIT Bombay.

Awards

ACM-W scholarship award for attending and presenting my research work at NeurIPS workshop on Beyond first-order methods in ML, 2019.
Awarded "Pratibha Samman" by Hindustan Newspaper for excellent performance in 12th standard.

Positions of Responsibility

Core Team Member (2017-2018) of Yogastha Club, IIT Bombay.
Academic Unit Representative of Academic Affairs, 2017-2018 (AURAA) in PGAC, IIT Bombay.

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