and Friends at CMU
The 2006 Spring ML talks:
Spectral Partitioning: approximations, image processing and clustering.
Machine Learning and Human Learning.
Online Decoding of Markov Models under Latency Constraints.
Boosting Structured Prediction for Imitation Learning.
Learning Dynamic Maps of Temporal Gene Regulation.
Statistical Software Debugging.
|October 02||KDD 2006 Conference Review Session.
Hanghang Tong, Center-Piece Subgraphs: Problem Definition and Fast Solutions.
Jimeng Sun, Beyond Streams and Graphs: Dynamic Tensor Analysis.
Learning-based Deformable Neuroimage Registration.
|September 18||UAI 2006 Conference Review Session.
Andreas Krause, Non-Minimal Triangulations for Mixed Stochastic/Deterministic Graphical Models.
Pradeep Ravikumar, On the Number of Samples Needed to Learn the Correct Structure of a Bayesian Network.
|September 11||ICML 2006 Conference Review Session.
Francisco Pereira, Support Vector Decomposition Machine.
Steve Hanneke, Inference with the Universum.
Kyung-Ah Sohn, Bayesian Multi-Population Haplotype Inference via a Hierarchical Dirichlet Process Mixture.
Smoothed Dirichlet distribution: Understanding the Cross-entropy ranking function in Information Retrieval.
Bayesian Inference for Gaussian Mixed Graph Models.
Rodeo: Sparse Nonparametric Regression in High Dimensions.
Dynamic Contextual Friendship Networks.
(Venue: Wean Hall 5409)
Machine Learning in TAC SCM (Trading Agent Competition in Supply Chain Management).
Probabilistic Graphical Models Session.
Ryan Kerekes, Graphical model approach to Iris matching under local shifts and occlusions.
Jun Yang, Exponential Family Harmoniums for Classifying Video Data.
Purnamrita Sarkar, Euclidean Embedding of Author-Word Co-occurrence Data Through Time.
|January 30||NIPS 2005 Conference Review Session.
Brent Bryan, Active Learning For Identifying Function Threshold Boundaries.
Brigham Andersen, Efficient Value of Information for Graphical Models.
Pradeep Ravikumar, Preconditioner Approximations for Probabilistic Graphical Models.
|January 23||NIPS 2005 Conference Review Session.
Pradeep Ravikumar, Generalization in Clustering with Unobserved Features.
Andreas Krause, Robust design of biological experiments.
Daniel Neill, A Bayesian Spatial Scan Statistic.
The 2006 ML talks were organized by Edoardo Airoldi, Anna Goldenberg, Leonid Kontorovich, Andreas Krause and Pradeep Ravikumar.
Maintained by: Pradeep Ravikumar - Last modified: Fri Jan 19 00:38:35 EST 2007