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1. Minimum f -Divergence Estimation With Applications to Degradation Data Analysis.

2. Multiclass Classification by Sparse Multinomial Logistic Regression.

3. Noisy Matrix Completion Under Sparse Factor Models.

4. Source Estimation in Time Series and the Surprising Resilience of HMMs.

5. Finite-Sample Risk Bounds for Maximum Likelihood Estimation With Arbitrary Penalties.

6. Model Selection and Minimax Estimation in Generalized Linear Models.