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Statistical Learning

4076 directly classified papers

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Papers

High Dimensional Structured Superposition Models NIPS 2016
Learning Kernels with Random Features NIPS 2016
Agnostic Estimation for Misspecified Phase Retrieval Models NIPS 2016
Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers NIPS 2016
Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models NIPS 2016
Fast Algorithms for Robust PCA via Gradient Descent NIPS 2016
Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm JMLR 2016
Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests JMLR 2016
Adaptive Lasso and group-Lasso for functional Poisson regression JMLR 2016
Convergence of an Alternating Maximization Procedure JMLR 2016
Scaling-up Empirical Risk Minimization: Optimization of Incomplete $U$-statistics JMLR 2016
Model-free Variable Selection in Reproducing Kernel Hilbert Space JMLR 2016
Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing JMLR 2016
A General Framework for Consistency of Principal Component Analysis JMLR 2016
Learning Theory for Distribution Regression JMLR 2016
One-class classification of point patterns of extremes JMLR 2016
Guarding against Spurious Discoveries in High Dimensions JMLR 2016
Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation JMLR 2016
Neyman-Pearson Classification under High-Dimensional Settings JMLR 2016
Stability and Generalization in Structured Prediction JMLR 2016
A Practical Scheme and Fast Algorithm to Tune the Lasso With Optimality Guarantees JMLR 2016
An Error Bound for L1-norm Support Vector Machine Coefficients in Ultra-high Dimension JMLR 2016
On the properties of variational approximations of Gibbs posteriors JMLR 2016
Temporal Action Detection Using a Statistical Language Model CVPR 2016
Estimating Cosmological Parameters from the Dark Matter Distribution ICML 2016