Improving Embeddings by Flexible Exploitation of Side Information, Ali Ghodsi, Finnegan Southey, Dana Wilkinson, Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-07), 2007.
Inferring Complex Agent Motions from Partial Trajectory Observations, Finnegan Southey, Wesley Loh, Dana Wilkinson, Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-07), 2007.
Bayes' Bluff: Opponent Modelling in Poker, Finnegan Southey, Michael Bowling, Bryce Larson, Carmelo Piccione, Neil Burch, Darse Billings, Chris Rayner, Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence (UAI-2005), pp. 550-558.
Constraint Metrics for Local Search, Finnegan Southey, SAT, 2005, pp. 269-281.
Effective Short-Term Opponent Exploitation in Simplified Poker, Bret Hoehn, Finnegan Southey, Robert C. Holte, Valeriy Bulitko, AAAI, 2005, pp. 783-788.
Semi-Automated Gameplay Analysis by Machine Learning, Finnegan Southey, Gang Xiao, Robert C. Holte, John Buchanan, Proceedings of the 2005 Conference on Artificial Intelligence in Interactive Digital Entertainment (AIIDE-05), pp. 123-128.
Software Testing by Active Learning for Commercial Games, Gang Xiao, Finnegan Southey, Robert C. Holte, Dana F. Wilkinson, AAAI, 2005, pp. 898-903.
Tangent-Corrected Embedding, Ali Ghodsi, Jiayuan Huang, Finnegan Southey, Dale Schuurmans, CVPR, 2005, pp. 518-525.
Metric-Based Methods for Adaptive Model Selection and Regularization, Dale Schuurmans, Finnegan Southey, Machine Learning, vol. 48 (2002), pp. 51-84.
Regularized Greedy Importance Sampling, Finnegan Southey, Dale Schuurmans, Ali Ghodsi, NIPS, 2002, pp. 753-760.
Local search characteristics of incomplete SAT procedures, Dale Schuurmans, Finnegan Southey, Artificial Intelligence, vol. 132 (2001), pp. 121-150.
Ossa - A Conceptual Modelling System for Virtual Realities, Finnegan Southey, James G. Linders, ICCS, 2001, pp. 333-345.
The Exponentiated Subgradient Algorithm for Heuristic Boolean Programming, Dale Schuurmans, Finnegan Southey, Robert C. Holte, IJCAI, 2001, pp. 334-341.
An Adaptive Regularization Criterion for Supervised Learning, Dale Schuurmans, Finnegan Southey, ICML, 2000, pp. 847-854.
Local Search Characteristics of Incomplete SAT Procedures, Dale Schuurmans, Finnegan Southey, AAAI/IAAI, 2000, pp. 297-302.
Monte Carlo inference via greedy importance sampling, Dale Schuurmans, Finnegan Southey, UAI, 2000, pp. 523-532.
Notio - A Java API for Developing CG Tools, Finnegan Southey, James G. Linders, ICCS, 1999, pp. 262-271.