Scholar
Alekh Agarwal
Google Scholar ID: 9nnDvooAAAAJ
Google
Citations & Impact
Citations
16,293
H-index
56
i10-index
118
Publications
20
Co-authors
9
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- PhD Thesis: 'Computational Trade-offs in Statistical Learning', UC Berkeley, 2012
- Co-authored a monograph on RL theory based on course notes with Nan Jiang and Sham Kakade
- Published extensively in top-tier journals including Journal of Machine Learning Research, IEEE Transactions on Information Theory, The Annals of Statistics, and SIAM Journal on Optimization
- Notable papers include: 'Model-free Representation Learning and Exploration in Low-rank MDPs', 'Federated Residual Learning', 'A Multiworld Testing Decision Service', 'On the Theory of Policy Gradient Methods', and 'Active Learning for Cost-Sensitive Classification'
- Research contributions span contextual bandits, reinforcement learning, active learning, overcomplete dictionary recovery, stochastic convex optimization, and distributed optimization
