wiki:WeekPapers

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)