Sotabase

Career

· Distinguished Professor of Computational Precision Health, University of California, San Francisco2024–
· Adjunct Professor of Neurological Surgery, University of California, San Francisco2008–2011
· Professor of Computer Science and Smith-Zadeh Professor in Engineering, University of California, Berkeley1986–
· PhD in Computer Science, Stanford University1982–1986
· BA in Physics, University of Oxford1979–1982
· Bachelor of Arts in Physics, Wadham College, Oxford University1979–1982
· Spoke Lead, Berkeley Spoke, Leverhulme Centre for the Future of Intelligence (CFI), University of Cambridge

Publications (305)

Distance Metric Learning with Application to Clustering with Side-Information
Neural Information Processing Systems · 2002
3,331
cited
Dynamic bayesian networks: representation, inference and learning
2002
2,979
cited
Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
International Conference on Machine Learning · 1999
2,716
cited
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Conference on Uncertainty in Artificial Intelligence · 2000
1,512
cited
Pharmacokinetics of a novel formulation of ivermectin after administration to goats
International Conference on Machine Learning · 2000
1,137
cited
Image Segmentation in Video Sequences: A Probabilistic Approach
Conference on Uncertainty in Artificial Intelligence · 1997
1,094
cited
Online bagging and boosting
IEEE International Conference on Systems, Man and Cybernetics · 2005
1,005
cited
Reinforcement Learning with Hierarchies of Machines
Neural Information Processing Systems · 1997
924
cited
Learning the Structure of Dynamic Probabilistic Networks
Conference on Uncertainty in Artificial Intelligence · 1998
713
cited
Research Priorities for Robust and Beneficial Artificial Intelligence
The AI Magazine · 2015
709
cited
Cooperative Inverse Reinforcement Learning
Neural Information Processing Systems · 2016
704
cited
BLOG: Probabilistic Models with Unknown Objects
International Joint Conference on Artificial Intelligence · 2005
550
cited
Combined task and motion planning through an extensible planner-independent interface layer
IEEE International Conference on Robotics and Automation · 2014
532
cited
Bayesian Q-Learning
AAAI/IAAI · 1998
505
cited
Rationality and Intelligence
International Joint Conference on Artificial Intelligence · 1995
473
cited
Inverse Reward Design
Neural Information Processing Systems · 2017
456
cited
Principles of Metareasoning
Artificial Intelligence · 1989
449
cited
Towards robust automatic traffic scene analysis in real-time
Proceedings of 1994 33rd IEEE Conference on Decision and Control · 1994
435
cited
Do the right thing: studies in limited rationality
1991
425
cited
Adaptive Probabilistic Networks with Hidden Variables
Machine-mediated learning · 1997
419
cited
Sotabase