Sabrina Khurshid
Scholar

Sabrina Khurshid

Google Scholar ID: T6wiJ7kAAAAJ
Ph.D. Scholar, IIT Delhi
Online Learning and Bandit Algorithms
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Citations & Impact
All-time
Citations
5
 
H-index
1
 
i10-index
0
 
Publications
4
 
Co-authors
1
list available
Contact
Emaileez218683@iitd.ac.inCVOpen ↗LinkedInOpen ↗
Publications
2 items
Order Optimal Regret Bounds for Sharpe Ratio Optimization in the Bandit Setting
2025
Cited
0
Variance-Optimal Arm Selection: Regret Minimization and Best Arm Identification
2025
Cited
0
Resume (English only)
Research Experience
  • Research topic: Applying Reinforcement Learning (AI/RL), specifically, Multi-Armed Bandits (MAB) to financial trading strategies
Education
  • Ph.D. scholar and PMRF fellow at the Electrical Engineering Department, Indian Institute of Technology, Delhi
Background
  • Comes from the beautiful and mesmerizing place, Kashmir. A Ph.D. scholar and a PMRF fellow at the Electrical Engineering Department, Indian Institute of Technology, Delhi. Research focus is on applying Reinforcement Learning (specifically, Multi-Armed Bandits) to financial trading strategies. The vision is to bridge the gap between academia and industry, contributing to the development of real-world applications that enhance trading strategies, risk management, and financial decision-making.
Miscellany
  • LinkedIn: www.linkedin.com/in/sabrina-khurshid-3b137223, e-mail: eez218683@iitd.ac.in, Address: Lab3-A7, IIT Delhi, Hauz Khas, New Delhi, 110016
Co-authors
1 total
Gourab Ghatak
Gourab Ghatak
Indian Institute of Technology Delhi (IIT Delhi)