OpenReview
.net
OpenReview
.net
Login
OpenReview
.net
Login
Shreyas Havaldar
PhD student, Computer Science, Columbia University
Joined
February 2020
Names
Shreyas Havaldar
(Preferred)
,
Shreyas Jayant Havaldar
Emails
****@iith.ac.in
(Confirmed)
,
****@gmail.com
(Confirmed)
,
****@google.com
(Confirmed)
,
****@columbia.edu
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
LinkedIn
Career & Education History
PhD student
Computer Science,
Columbia University
(columbia.edu)
2024
–
Present
Researcher
Foundational Research,
Google Deepmind
(google.com)
2022
–
2024
Undergrad student
Computer Science,
Indian Institute of Technology Hyderabad
(iith.ac.in)
2018
–
2022
Advisors, Relations & Conflicts
PhD Advisor
Elias Bareinboim
2024
–
Present
Coworker
Karthikeyan Shanmugam
2022
–
2024
Coworker
Aravindan Raghuveer
2022
–
2024
Coworker
Rishi Saket
2022
–
2024
Coworker
Navodita Sharma
2022
–
2024
Coworker
Anand Paresh Brahmbhatt
2022
–
2024
Coworker
Anshul Nasery
2022
–
2024
Coworker
Yukti Makhija
2022
–
2024
Expertise
Causality
Present
Trustworthy Machine Learning
Present
Publications
Epidemiology of Large Language Models: A Benchmark for Observational Distribution Knowledge
Drago Plecko
,
Patrik Okanovic
,
Shreyas Havaldar
,
Torsten Hoefler
,
Elias Bareinboim
ICLR 2026 Conference Withdrawn Submission
Readers:
Everyone
Learning from Label Proportions and Covariate-shifted Instances
Sagalpreet Singh
,
Navodita Sharma
,
Shreyas Havaldar
,
Rishi Saket
,
Aravindan Raghuveer
UAI 2025 Poster
Readers:
Everyone
Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation
Shreyas Havaldar
,
Navodita Sharma
,
Shubhi Sareen
,
Karthikeyan Shanmugam
,
Aravindan Raghuveer
ICLR 2024 poster
Readers:
Everyone
Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation
Shreyas Havaldar
,
Navodita Sharma
,
Shubhi Sareen
,
Karthikeyan Shanmugam
,
Aravindan Raghuveer
RegML 2023
Readers:
Everyone
Unsupervised Adaptation for Fairness under Covariate Shift
Jatin Chauhan
,
Shreyas Havaldar
,
Karthikeyan Shanmugam
,
Jay Nandy
,
Aravindan Raghuveer
Published: 01 Feb 2023, Last Modified: 13 Feb 2023
Submitted to ICLR 2023
Readers:
Everyone
On the benefits of defining vicinal distributions in latent space
Puneet Mangla
,
Vedant Singh
,
Shreyas Jayant Havaldar
,
Vineeth Balasubramanian
2021 (modified: 18 Nov 2022)
Pattern Recognit. Lett. 2021
Readers:
Everyone
VarMixup: Exploiting the Latent Space for Robust Training and Inference
Puneet Mangla
,
Vedant Singh
,
Shreyas Jayant Havaldar
,
Vineeth N. Balasubramanian
2020 (modified: 18 Nov 2022)
CoRR 2020
Readers:
Everyone
Co-Authors
Aravindan Raghuveer
Drago Plecko
Elias Bareinboim
Jatin Chauhan
Jay Nandy
Karthikeyan Shanmugam
Navodita Sharma
Patrik Okanovic
Puneet Mangla
Rishi Saket
Sagalpreet Singh
Shubhi Sareen
Torsten Hoefler
Vedant Singh
Vineeth Balasubramanian
Vineeth N. Balasubramanian