Vatsal Sharan
28 papers · 2017–2026 · 9 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 7 separate collaboration groups - the largest holds only 43% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Vatsal Sharan?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Siddartha Devic, Julian Asilis, Deqing Fu
12 papers
· 2023–2026
· NeurIPS, COLT, ICML
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An External Fairness Evaluation of LinkedIn Talent Search
AAAI 2026
Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models
ACL 2026
Proper Learnability and the Role of Unlabeled Data
ALT 2025
Transformers Learn Low Sensitivity Functions: Investigations and Implications
ICLR 2025
Open Problem: Can Local Regularization Learn All Multiclass Problems?
COLT 2024
Pre-trained Large Language Models Use Fourier Features to Compute Addition
NeurIPS 2024
Regularization and Optimal Multiclass Learning
COLT 2024
Stability and Multigroup Fairness in Ranking with Uncertain Predictions
ICML 2024
Transductive Learning is Compact
NeurIPS 2024
Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression
NeurIPS 2024
When is Multicalibration Post-Processing Necessary?
NeurIPS 2024
Fairness in Matching under Uncertainty
ICML 2023