PPaperPicks

Vatsal Sharan

17 papers at tracked venues · 13 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

NeurIPS ×9COLT ×3AAAI ×1ACL ×1AISTATS ×1ICLR ×1ICML ×1

Frequent coauthors

Siddartha Devic
×6
Haipeng Luo
×4
Spandan Senapati
×4
Deqing Fu
×4
Julian Asilis
×4
Robin Jia
×3
Shaddin Dughmi
×3
Shang-Hua Teng
×3
Aleksandra Korolova
×2
David Kempe
×2
Bhavya Vasudeva
×2
Tianyi Zhou
×2

Papers

  1. An External Fairness Evaluation of LinkedIn Talent Search
    AAAI 2026 ·
    Tina Behzad
    ,
    Siddartha Devic
    , Vatsal Sharan,
    Aleksandra Korolova
    ,
    David Kempe
  2. Efficient Swap Multicalibration of Elicitable Properties
    COLT 2026 ·
    Lunjia Hu
    ,
    Haipeng Luo
    ,
    Spandan Senapati
    , Vatsal Sharan
  3. Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models
    ACL 2026 ·
    Woody Haosheng Gan
    ,
    Deqing Fu
    ,
    Julian Asilis
    ,
    Ollie Liu
    , Vatsal Sharan,
    Robin Jia
    ,
    Willie Neiswanger
  4. Discovering Data Structures: Nearest Neighbor Search and Beyond
    NeurIPS 2025 ·
    Omar Salemohamed
    ,
    Laurent Charlin
    ,
    Shivam Garg
    , Vatsal Sharan,
    Gregory Valiant
  5. Improved Bounds for Swap Multicalibration and Swap Omniprediction
    NeurIPS 2025 ·
    Haipeng Luo
    ,
    Spandan Senapati
    , Vatsal Sharan
  6. On the Inherent Privacy of Zeroth-Order Projected Gradient Descent
    AISTATS 2025 ·
    Devansh Gupta
    ,
    Meisam Razaviyayn
    , Vatsal Sharan
  7. Simultaneous Swap Regret Minimization via KL-Calibration
    NeurIPS 2025 ·
    Haipeng Luo
    ,
    Spandan Senapati
    , Vatsal Sharan
  8. The Rich and the Simple: On the Implicit Bias of Adam and SGD
    NeurIPS 2025 ·
    Bhavya Vasudeva
    ,
    Jung Hoon Lee
    , Vatsal Sharan,
    Mahdi Soltanolkotabi
  9. Transformers Learn Low Sensitivity Functions: Investigations and Implications
    ICLR 2025 ·
    Bhavya Vasudeva
    ,
    Deqing Fu
    ,
    Tianyi Zhou
    ,
    Elliott Kau
    ,
    Youqi Huang
    , Vatsal Sharan
  10. Open Problem: Can Local Regularization Learn All Multiclass Problems?
    COLT 2024 ·
    Julian Asilis
    ,
    Siddartha Devic
    ,
    Shaddin Dughmi
    , Vatsal Sharan,
    Shang-Hua Teng
  11. Optimal Multiclass U-Calibration Error and Beyond
    NeurIPS 2024 ·
    Haipeng Luo
    ,
    Spandan Senapati
    , Vatsal Sharan
  12. Pre-trained Large Language Models Use Fourier Features to Compute Addition
    NeurIPS 2024 ·
    Tianyi Zhou
    ,
    Deqing Fu
    , Vatsal Sharan,
    Robin Jia
  13. Regularization and Optimal Multiclass Learning
    COLT 2024 ·
    Julian Asilis
    ,
    Siddartha Devic
    ,
    Shaddin Dughmi
    , Vatsal Sharan,
    Shang-Hua Teng
  14. Stability and Multigroup Fairness in Ranking with Uncertain Predictions
    ICML 2024 ·
    Siddartha Devic
    ,
    Aleksandra Korolova
    ,
    David Kempe
    , Vatsal Sharan
  15. Transductive Learning is Compact
    NeurIPS 2024 ·
    Julian Asilis
    ,
    Siddartha Devic
    ,
    Shaddin Dughmi
    , Vatsal Sharan,
    Shang-Hua Teng
  16. Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression
    NeurIPS 2024 ·
    Deqing Fu
    ,
    Tianqi Chen
    ,
    Robin Jia
    , Vatsal Sharan
  17. When is Multicalibration Post-Processing Necessary?
    NeurIPS 2024 ·
    Dutch Hansen
    ,
    Siddartha Devic
    ,
    Preetum Nakkiran
    , Vatsal Sharan