Scholar
Alexander Rakhlin
Google Scholar ID: fds2VpgAAAAJ
Professor, MIT
Citations & Impact
Citations
9,212
H-index
46
i10-index
89
Publications
20
Co-authors
0
Contact
Publications
Resume
Research Experience
- Currently a Professor at MIT, affiliated with the Statistics and Data Science Center (IDSS), Department of Brain & Cognitive Sciences, and Laboratory for Information & Decision Systems. The research group currently focuses on: Reinforcement Learning and Decision Making, where data are collected actively and feedback is limited; Online Learning, aiming to develop robust prediction methods that do not rely on i.i.d. or stationary nature of data; Statistical Learning, studying the problem of learning with i.i.d. data.
Background
- Research interests include Machine Learning, Statistics, and Optimization. Focuses on formalizing the process of learning, analyzing learning models, and developing new learning methods. Major research areas include online prediction, decision-making, and reinforcement learning. Recent interests also cover understanding reinforcement learning and decision making, neural networks and overparameterized models, as well as large language models.