Fall 2004 - ML Reading Group: Previous Semester Papers
- Sept 3
- Ankur Agarwal, Bill Trigs "Learning to Track 3D Human Motion from Silhouettes"
- Sept 10
- Tipping, M. "The Relevance Vector Machine"
- Sept 17
- Georgios Chalkiadakis and Craig Boutilier "Coordination in Multiagent Reinforcement Learning: A Bayesian Approach"
- Sept 24
- Continuing Georgios Chalkiadakis and Craig Boutilier
- Oct 1
- No paper. Practice colloquium talks by John, Sushmita and Shibin.
- Oct 8
- Anna Goldenberg and Andrew Moore "Tractable Learning of Large Bayes Net Structures from Sparse Data"
- Oct 22
- William Smart & Leslie Pack Kaelbling "Practical Reinforcement Learning in Continuous Spaces"
- Oct 29
- (Continue) William Smart & Leslie Pack Kaelbling "Practical Reinforcement Learning in Continuous Spaces"
- Nov 5
- Pedro Domingos and Matthew Richardson "Markov Logic: A Unifying Framework for Statistical Relational Learning"
- Nov 12
- Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer "Learning Probabilistic Relational Models"
- Nov 19
- Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer "(Continuing...) Learning Probabilistic Relational Models"
- Dec 3
- Kristina Lerman and Aram Galstyan "Automatically Modeling Group Behavior of Simple Agents"
- Dec 10
- Eran Segal, Daphne Koller and Dirk Ormoneit "Probabilistic Abstraction Hierarchies"
- Dec 17
- T. Jaakkola, M. Meila, and T. Jebara. "Maximum entropy discrimination"
Possible papers for future reading
Include, but are not limited to:- Gadanho, S. C., "Learning Behavior-Selection by Emotions and Cognition in a Multi-Goal Robot Task" Journal of Machine Learning Research 4(Jul):385-412, 2003.
- T. Jaakkola and D. Haussler, "Exploiting generative models in discriminative classifiers."
- David H. Wolpert, "Any Two Learning Algorithms Are (Almost) Exactly Identical"
- Salakhutdinov, R., Roweis, S., and Ghahramani, Z., "Optimization with EM and Expectation-Conjugate-Gradient" In Proceedings of the Twentieth International Conference on Machine Learning (ICML-2003), 2003.
- Genton, M. G., Classes of Kernels for Machine Learning: A Statistics Perspective Journal of Machine Learning Research, 2, 2001.
- Lagoudakis, M. G. and Parr, R., "Least-Squares Policy Iteration" JMLR 4(Dec):1107-1149, 2003
Other related machine learning reading groups
- STAIR. Leslie Kaelbling's STatistical AI Reading group at MIT.
