Hi! I am currently in the fourth year of my PhD at IIT Bombay, India. I started my PhD in 2021 and have the privilege of being guided by Prof. Sunita Sarawagi and Prof. Abir De. My research primarily focuses on the fields of Causal Inference and Algorithmic Recourse. I am grateful to have my PhD studies funded by the Prime Minister Research Fellowship.
Prior to joining IIT Bombay, I worked with IBM Research for about 1.5 year on topics such as Federated Learning, data quality metrics assessment, and user preference aggregation. Before that, I completed my Master’s degree at IISc Bangalore. During my time at IISc, I worked with Prof. M Narasimha Murty on the development of robust representations for nodes in Social Networks, with a specific focus on handling outliers.
- Machine Learning in general
- Causal Inference
- Algorithmic Recourse
- Federated Learning
-
PhD in Computer Science and Engineering, 2021 - Present
IIT Bombay
-
M.Tech. in Computer Science, 2019
IISc Bangalore
-
B.E. in Computer Science, 2015
CEG, Anna University
Experience
Updates
- 📝 Reviewer at NeurIPS-24.
- 💵 Thankful to Microsoft Research India for travel grant to attend ICML-24 at Vienna.
- 🍁 Started research internship at Microsoft Research India, working with Amit Sharma on Root Cause Analysis.
- 📃 PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect
- 💵 Thankful to Microsoft Research India for travel grant to attent AAAI-24 at Vancouver.
- 📃 Continuous Treatment Effect estimation using Gradient Interpolation and Kernel Smoothing accepted to AAAI-24.
- 📃 Gradient Coresets for Federated Learning accepted as a full paper at WACV'24
- 🔊 Delivered a Talk on “Causal Inference” at Amex Bangalore.
- 🔊 Co-taught a Machine Learning course for Master’s level students at the CSE Dept, VJTI Mumbai.
- 🔊 Co-taught a course on Machine Learning (Theory/Lab) for the UG students of CSE Dept, at SSN College of Engg, Chennai
- 🔊 Presented a Tutorial on Gaussian Process in CS 337.
- 🔊 Delivered an invited talk on “Learning Recourse on instance environment” at Adobe Research
- 📃 Learning Recourse on instance environment to enhance prediction accuracy accepted at NeurIPS'22
- 🔊 Delivered a talk on Optimal Transport at the CSE Dept, IIT Bombay
- 📝 Reviewer at AAAI 2023 Research track
- 📝 Serving in the PC of AIMLSystems 2022 Research track
- 📣Teaching Linear Algebra for GATE in NPTEL. Videos available here!
- 📃 Federated Learning with Relevant Data paper accepted at AAAI'22
- 📝 KDD'21 tutorial on data quality
- 📝 Serving in the PC of CODS-COMAD 2021 Research track
- 📝 Serving in the PC of AIMLSystems 2021 Industry track
- 🏫 Started PhD with IIT Bombay
- 🔊 Delivered a guest lecture on “data quality for Machine Learning” at JDBI, Kolkatta
- 🔊 Delivered a guest lecture on “outsmarting outliers in social networks” at CEG on social networks
- 📃 One short paper accepted at ICDE 2021
- 📃 One research track paper accepted at AAAI 2021
- 🏫 Graduated with Masters from IISc and joining IBM Research
- 📃 One Reserach track paper accepted at WSDM 2020
- 📃 One Reserach track paper accepted at AAAI 2019
Talks
Publications
Patents
Recent Posts
Contact
- nlokeshiisc AT gmail.com
- Kanwal Rekhi building, Dept. of CSE, Powai, Mumbai, India 400076