1997 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For contributions to machine learning, bounded rationality and planning under uncertainty.
Artificial Intelligence: A Modern Approach
Stuart J. Russell;Peter Norvig.
Distance Metric Learning with Application to Clustering with Side-Information
Eric P. Xing;Michael I. Jordan;Stuart J Russell;Andrew Y. Ng.
neural information processing systems (2002)
Dynamic bayesian networks: representation, inference and learning
Kevin Patrick Murphy;Stuart Russell.
Algorithms for Inverse Reinforcement Learning
Andrew Y. Ng;Stuart J. Russell.
international conference on machine learning (2000)
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks.
Kevin Murphy;Stuart Russell.
Sequential Monte Carlo Methods in Practice (2001)
Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
Andrew Y. Ng;Daishi Harada;Stuart J. Russell.
international conference on machine learning (1999)
Rao-blackwellised particle filtering for dynamic Bayesian networks
Arnaud Doucet;Nando de Freitas;Kevin P. Murphy;Stuart J. Russell.
uncertainty in artificial intelligence (2000)
Image segmentation in video sequences: a probabilistic approach
Nir Friedman;Stuart Russell.
uncertainty in artificial intelligence (1997)
BLOG: Probabilistic Models with Unknown Objects
Brian Milch;Bhaskara Marthi;Stuart Russell;David Sontag.
dagstuhl seminar proceedings (2006)
Online Bagging and Boosting
Nikunj C. Oza;Stuart J. Russell.
international conference on artificial intelligence and statistics (2001)
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