About me

Hi, I am Prateek, currently a PhD student at CSE Department, IIT Bombay, (generously funded by the Prime Minister Research Fellowship).

I had a brief 2.5 year stint at Microsoft Research India with Dr. Amit Sharma and Vageesh Chandramouli where I worked on building recommendation systems using causal inference as part of SCAI (Center for Societal impact through Cloud and Artificial Intelligence). During this time I also collaborated with Prof. Malay Bhattacharyya at Indian Statistical Institute w.r.t to Anomaly Detection in Large Graphs using Streaming Sketches and with Dr. Bryan Hooi’s lab at NUS focusing on streaming algorithms and heavy-hitters.

My research interests lie in optimization problems in machine learning theory.

News

  • [12/03/2024] Received Travel Grant from ICLR
  • [15/01/2024] Paper on Bayesian Coreset Optimization accepted to ICLR 2024.
  • [28/01/2023] Attending Google Research Week at Bangalore
  • [31/08/2022] Awarded the prestiguous Prime Minister Research Fellowship as a Direct Fellow Cycle 9
  • [25/07/2022] Joined IIT Bombay as a PhD Student.
  • [17/12/2021] Bachelor Thesis Work accepted at AAAI-22 Workshop on Machine Learning for Operations Research
  • [11/12/2021] Paper on Robust Deep Reinforcement Learning Control accepted at AAAI-22 Workshop on Robust Artificial Intelligence System Assurance
  • [2/11/2021] Acting as a Reviewer for AISTATS 2022
  • [30/10/2021] Paper on Reaching out : Towards a sustainable allocation strategy between users and therapists accepted at Machine Learning in Public Health Workshop @NeurIPS
  • [15/9/2021] Selected for AISTATS 2022 Mentorship Program. Working with Dr. Aadirupa Saha from Microsoft Research NYC on Anomaly Detection in Large Data Streams using Game Theory and RL.
  • [21/10/2021] Paper on Real time anomaly detection in Large Scale Distributed Systems accepted at ML for Systems @NeurIPS
  • [2/10/2021] Paper on Human Computation and CrowdSourcing for Earth accepted at AAAI HCOMP (Blue Sky Ideas)
  • [16/8/2021] Selected as a mentee under AI for Science @NeurIPs workshop to work with Prof. Malay Bhattacharyya, Indian Statistical Institute.
  • [12/7/2021] Work on MindNotes (our work at Microsoft Research on building a socio-technical mental health platform) accepted at CSCW [Demo Paper]
  • [24/4/2021] Invited to be a Program Committe member for Outlier Detection and Description Workshop @KDD.

Publications

You can also find my articles on my Google Scholar profile.

drawing
Bayesian Coreset Optimization for Personalized Federated Learning
Prateek Chanda, Shrey Modi, Ganesh Ramakrishnan
Accepted The Twelfth International Conference on Learning Representations (ICLR)(Awarded ICLR Travel Grant.)
drawing
Would I regret later joining this Community ? Using temporal neighborhood information for community retention in a game theoretic community detection framework
Prateek Chanda and Susanta Chakraborty
Accepted AAAI-22 Workshop on Machine Learning for Operations Research (ML4OR)

drawing
Robust Deep Reinforcement Learning Control framework
Prateek Chanda
Accepted AAAI-22 Workshop on Robust Artificial Intelligence System Assurance

drawing
Reaching out : Towards a sustainable allocation strategy between users and therapists
Prateek Chanda
Accepted NeurIPS workshop on Machine Learning in Public Health

drawing
Human Computation and Crowdsourcing for Earth
Yasaman Rohanifar, Syed Ishtiaque Ahmed, Sharifa Sultana, Prateek Chanda, Malay Bhattacharyya
Accepted AAAI HCOMP

drawing
A Sketch Based Game Theoretic Approach to Detect Anomalous Dense Sub-Communities in Large Data Streams
Prateek Chanda, Aadirupa Saha
Under Review, AISTATS 2022 (Full Paper)

drawing
MINDNOTES : A Mobile Platform to enable users to break stigma around mental health and connect with therapists
Prateek Chanda, Amogh Wagh, Jemimah Johnson, Swaraj Renghe, Vageesh Chandramouli, Amit Sharma, Seema Mehrotra
Accepted CSCW 2021 (Short Paper)

drawing
Distributed Anomaly Detection in Edge Streams using Frequency based Sketch Datastructures
Prateek Chanda, Malay Bhattacharyya
Under Review VLDB (Full Paper)

drawing
A Novel Graph Based Clustering Approach to Document Topic Modeling
Prateek Chanda, Asit Kr. Das
Accepted 9th ICCCNT @ IISc Bangalore

drawing
The SunPy project: Open source development and status of the version 1.0 core package
Prateek Chanda, SunPy Community
Accepted Astrophysical Journal

drawing
SunPy 2.0: the community-developed open-source solar data analysis environment for Python
Prateek Chanda, SunPy Community
Accepted AGU Fall Meeting Abstracts 2020

Technical Reports

A Theoretical and Empirical Analysis of Metric Learning Algorithms Project Report
Prateek Chanda,Rahul Roy, Ashish Ghosh

Student Group Activity Recognition Project Report
Prateek Chanda,Snigdha Das, Soumyajit Chatterjee, Sandip Chakraborty and Bivas Mitra

Recommendation Strategies as Intervention in a Mental Health Platform
Prateek Chanda,Amit Sharma

Community Detection in Static & Dynamic Networks using Game Theory
Prateek Chanda, Malay Kule, Susanta Chakraborty

Collaborators

Microsoft Research India

Indian Statistical Institute

  • Malay Bhattacharyya(Assistant Professor at Indian Statistical Institute)
  • Ashish Ghosh(Professor & former Head, Machine Intelligence Unit at Indian Statistical Institute)

For more info

Check out my CV or mail to me