Avishek Ghosh
Scholar

Avishek Ghosh

Google Scholar ID: 8y0Dg5cAAAAJ
Assistant Professor, Dept. of Computer Science & Engg., IIT Bombay
Theoretical Machine LearningOptimizationRLBandits
Citations & Impact
All-time
Citations
2,255
 
H-index
16
 
i10-index
21
 
Publications
20
 
Co-authors
18
list available
Resume (English only)
Academic Achievements
  • Paper 'Near Optimal Best Arm Identification for Clustered Bandits' accepted at ICML 2025
  • Paper 'Learning and Generalization With Mixture Data' accepted at IEEE ISIT 2025
  • Preprint 'On the Theory of Continual Learning with Gradient Descent for Neural Networks' released Oct 2025
  • Preprint 'LocalKMeans: Convergence of Lloyd's Algorithm with Distributed Local Iterations' released May 2025
  • Preprint 'Incentivize Contribution and Learn Parameters Too: Federated Learning with Strategic Data Owners' released May 2025
  • Invited talk on non-convex optimization at Probability Seminar, University of Bristol, Feb 2025
  • Invited talk on multi-agent bandits at RL Workshop 2025, IISc Bangalore, Jan 2025
Research Experience
  • Currently Assistant Professor, Department of Computer Science and Engineering, IIT Bombay
  • Previously Assistant Professor at Centre for Systems and Control Engineering (SysCon), IIT Bombay
  • Postdoctoral fellow at Halıcıoğlu Data Science Institute (HDSI), UC San Diego, working with Prof. Arya Mazumdar and Prof. Tara Javidi
  • Visiting Researcher at UC San Diego (TILOS visitor), May–June 2025; host: Prof. Arya Mazumdar
  • Visiting Researcher at School of Mathematics, University of Bristol, Feb–Mar 2025; host: Prof. A. Ganesh