Table of Contents
Pool of possible papers for Fall 2011
JMLR
- Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Functions on Graphs, Jim C. Huang, Brendan J. Frey, 12(Jan):301-348, 2011
- Forest Density Estimation, Han Liu, Min Xu, Haijie Gu, Anupam Gupta, John Lafferty, Larry Wasserman, 12(Mar):907–951, 2011
- The Indian Buffet Process: An Introduction and Review, Thomas L. Griffiths, Zoubin Ghahramani, 12(Apr):1185–1224, 2011
- Faster Algorithms for Max-Product Message-Passing, Julian J. McAuley, Tibério S. Caetano, 12(Apr):1349–1388, 2011
- Learning Latent Tree Graphical Models, Myung Jin Choi, Vincent Y.F. Tan, Animashree Anandkumar, Alan S. Willsky, 12(May):1771-1812, 2011
- Stochastic Methods for l1-regularized Loss Minimization, Shai Shalev-Shwartz, Ambuj Tewari 12(Jun):1865-1892, 2011
ICML-2011
- Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection, Abhimanyu Das and David Kempe
- Variational Heteroscedastic Gaussian Process Regression, Miguel Lazaro-Gredilla and Michalis Titsias
- Minimum Probability Flow Learning, Jascha Sohl-Dickstein, Peter Battaglino, and Michael DeWeese
- Dynamic Tree Block Coordinate Ascent, Daniel Turlow, Dhruv Batra, Pushmeet Kohli, Vladimir Kolmogorov
- Pruning nearest neighbor cluster trees, Samory Kpotufe, Ulrike von Luxburg
- On the Necessity of Irrelevant Variables, Dave Helmbold, Phil Long
- Risk-Based Generalizations of f-divergences, Darío García-García, Ulrike von Luxburg, Raúl Santos-Rodríguez
- Infinite SVM: a Dirichlet Process Mixture of Large-margin Kernel Machines, Jun Zhu, Ning Chen, Eric Xing
- Message Passing Algorithms for the Dirichlet Diffusion Tree, David Knowles, Jurgen Van Gael, Zoubin Ghahramani
- Tree preserving embedding, Albert Shieh, Tatsunori Hashimoto, Ado Airoldi
- Variational Inference for Stick-Breaking Beta Process Priors, John Paisley, Lawrence Carin, David Blei
- Infinite Dynamic Bayesian Networks, Finale Doshi, David Wingate, Josh Tenenbaum, Nicholas Roy
- Learning Recurrent Neural Networks with Hessian-Free Optimization, James Martens, Ilya Sutskever and Generating Text with Recurrent Neural Networks, Ilya Sutskever, James Martens, Geoffrey Hinton
- Probabilistic Matrix Addition, Amrudin Agovic, Arindam Banerjee, Snigdhansu Chatterje
- k-DPPs: Fixed-Size Determinantal Point Process, Alex Kulesza, Ben Taskar
UAI
- Sum-Product Networks: A New Deep Architecture, Hoifung Poon and Pedro Domingos
- Generalised Wishart Processes, Andrew Wilson and Zoubin Ghahramani
- A Sequence of Relaxation Constraining Hidden Variable Models, Greg Ver Steeg and Aram Galstyan
- Graph Cuts is a Max-Product Algorithm, Daniel Tarlow, Inmar Givoni, Richard Zemel and Brendan Frey
