This week's papers
We would currently go through the proceedings of ICML 2010.
List the title of the paper you wish to present this week alongside your name. This is to make sure two or more people do not select the same paper(s).
April 6, 2011
| Person | Paper title
|
| Curtin, Ryan |
|
| Lee, Dongryeol |
|
| March, Bill |
|
| Mehta, Nishant | Hilbert Space Embeddings of Hidden Markov Models (Le Song, Byron Boots, Sajid Siddiqi, Geoff Gordon, Alex Smola)
|
| Ouyang, Hua |
|
| Ozakin, Arkadas |
|
| Ram, Parikshit | Label Embedding Trees for Large Multi-Class Tasks (Samy Bengio, Jason Weston, David Grangier)
|
| Riegel, Ryan |
|
| Sastry, Ravi |
|
| Tran, Long |
|
| Gray, Alex (opt) |
|
Future readings
This section is optional. You can fill in other papers from the conference which you feel is a good fit and you wish to present it the following week or someone else can. Just make sure to avoid duplication.
Papers
NIPS 2010
We went through the proceedings of NIPS 2010.
Leftovers
Papers
March 16, 2011
| Person | Paper title
|
| Curtin, Ryan | Humans Learn Using Manifolds, Reluctantly
|
| Lee, Dongryeol | MAP Estimation for Graphical Models by Likelihood Maximization
|
| March, Bill | Robust PCA via Outlier Pursuit
|
| Mehta, Nishant | A Theory of Multiclass Boosting (Schapire and friends)
|
| Ouyang, Hua | Moreau-Yosida Regularization for Grouped Tree Structure Learning
|
| Ozakin, Arkadas |
|
| Ram, Parikshit | Label Embedding Trees for Large Multi-Class Tasks (Samy Bengio, Jason Weston, David Grangier)
|
| Riegel, Ryan |
|
| Sastry, Ravi |
|
| Tran, Long | Multiparty Differential Privacy via Aggregation of Locally Trained Classifiers (Manas Pathak, Shantanu Rane, Bhiksha Raj)
|
| Gray, Alex (opt) |
|
March 9, 2011
| Person | Paper title
|
| Curtin, Ryan |
|
| Lee, Dongryeol | Sparse Inverse Covariance Selection via Alternating Linearization Methods
|
| March, Bill | Segmentation as Maximum-Weight Independent Set
|
| Mehta, Nishant | Guaranteed Rank Minimization via Singular Value Projection ( Prateek Jain, Raghu Meka, Inderjit Dhillon )
|
| Ouyang, Hua | Random Walk Approach to Regret Minimization
|
| Ozakin, Arkadas |
|
| Ram, Parikshit | Sample Complexity of Testing the Manifold Hypothesis ( Hariharan Narayanan, Sanjoy Mitter )
|
| Riegel, Ryan |
|
| Sastry, Ravi | Learning Bounds for Importance Weighting
|
| Tran, Long | Discriminative Clustering by Regularized Information Maximization
|
| Gray, Alex (opt) |
|
February 16, 2011
| Person | Paper title
|
| Curtin, Ryan | Pose-Sensitive Embedding by Nonlinear NCA Regression
|
| Lee, Dongryeol | Random Conic Pursuit for Semidefinite Programming
|
| March, Bill | The Multidimensional Wisdom of Crowds
|
| Mehta, Nishant | Permutation Complexity Bound on Out-Sample Error
|
| Ouyang, Hua | More data means less inference: A pseudo-max approach to structured learning
|
| Ozakin, Arkadas |
|
| Ram, Parikshit | Random Projections for $k$-means Clustering
|
| Riegel, Ryan |
|
| Sastry, Ravi |
|
| Tran, Long | Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions
|
| Gray, Alex (opt) |
|
February 9, 2011
| Person | Paper title
|
| Curtin, Ryan | Phoneme Recognition With Large Hierarchical Reservoirs
|
| Lee, Dongryeol | Gaussian Process Preference Elicitation
|
| March, Bill | Supervised Clustering
|
| Mehta, Nishant | t-Logistic Regression
|
| Ouyang, Hua | Structured sparsity-inducing norms through submodular functions
|
| Ozakin, Arkadas |
|
| Ram, Parikshit | Lower Bounds on Rate of Convergence of Cutting Plane Methods
|
| Riegel, Ryan |
|
| Sastry, Ravi | Agnostic Active Learning without constraints
|
| Tran, Long | Random Projection Tree Revisited
|
| Gray, Alex (opt) |
|
