Sotabase

Career

· Associate Professor, Stanford University2017–
· Assistant Professor, Carnegie Mellon University2011–2017
· PhD in Computer Science, Massachusetts Institute of Technology (MIT)2009–
· NSF Mathematical Sciences Postdoctoral Research Fellow, University of California, Berkeley2009–2011
· Master of Science in Neuroscience, Oxford University2002–
· Bachelor of Science in Computer Engineering and Physics, University of Washington2000–

Publications (445)

On the Opportunities and Risks of Foundation Models
arXiv.org · 2021
5,795
cited
Global and regional hearing impairment prevalence: an analysis of 42 studies in 29 countries.
European Journal of Public Health · 2013
718
cited
Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning
International Conference on Machine Learning · 2016
612
cited
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning
arXiv.org · 2020
596
cited
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
Neural Information Processing Systems · 2017
320
cited
Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds
International Conference on Machine Learning · 2019
300
cited
Designing mobile interfaces for novice and low-literacy users
TCHI · 2011
296
cited
Building peer-to-peer systems with chord, a distributed lookup service
Proceedings Eighth Workshop on Hot Topics in Operating Systems · 2001
287
cited
Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning
Neural Information Processing Systems · 2015
259
cited
Learning Near Optimal Policies with Low Inherent Bellman Error
International Conference on Machine Learning · 2020
235
cited
Offline policy evaluation across representations with applications to educational games
Adaptive Agents and Multi-Agent Systems · 2014
195
cited
New Potentials for Data-Driven Intelligent Tutoring System Development and Optimization
The AI Magazine · 2013
184
cited
Preventing undesirable behavior of intelligent machines
Science · 2019
174
cited
Efficient Exploration Through Bayesian Deep Q-Networks
Information Theory and Applications Workshop · 2018
173
cited
QuizBot: A Dialogue-based Adaptive Learning System for Factual Knowledge
International Conference on Human Factors in Computing Systems · 2019
171
cited
Evaluating the accuracy of data collection on mobile phones: A study of forms, SMS, and voice
International Conference on Information and Communication Technologies and Development · 2009
168
cited
Policy Certificates: Towards Accountable Reinforcement Learning
International Conference on Machine Learning · 2018
153
cited
Scaling up behavioral science interventions in online education
Proceedings of the National Academy of Sciences of the United States of America · 2020
146
cited
Sample Complexity of Multi-task Reinforcement Learning
Conference on Uncertainty in Artificial Intelligence · 2013
144
cited
The Impact on Individualizing Student Models on Necessary Practice Opportunities
Educational Data Mining · 2012
140
cited
Sotabase