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Statistical Learning

4076 directly classified papers

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Papers

A novel family of non-parametric cumulative based divergences for point processes NIPS 2010
Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance JMLR 2010
A New Probabilistic Model for Rank Aggregation NIPS 2010
Learning Bounds for Importance Weighting NIPS 2010
Spectral Regularization for Support Estimation NIPS 2010
Identifying graph-structured activation patterns in networks NIPS 2010
Learning with Blocks: Composite Likelihood and Contrastive Divergence AISTATS 2010
Fast global convergence rates of gradient methods for high-dimensional statistical recovery NIPS 2010
Empirical Bernstein Inequalities for U-Statistics NIPS 2010
Active Estimation of F-Measures NIPS 2010
Sufficient covariates and linear propensity analysis AISTATS 2010
Rates of convergence for the cluster tree NIPS 2010
Optimal learning rates for Kernel Conjugate Gradient regression NIPS 2010
Tight Sample Complexity of Large-Margin Learning NIPS 2010
LSTD with Random Projections NIPS 2010
Extended Bayesian Information Criteria for Gaussian Graphical Models NIPS 2010
Sparse Inverse Covariance Selection via Alternating Linearization Methods NIPS 2010
Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models NIPS 2010
Linear readout from a neural population with partial correlation data NIPS 2010
Predictive State Temporal Difference Learning NIPS 2010
Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity AISTATS 2010
Relating Function Class Complexity and Cluster Structure in the Function Domain with Applications to Transduction AISTATS 2010
The Group Dantzig Selector AISTATS 2010
Empirical Bernstein Boosting AISTATS 2010
Reduced-Rank Hidden Markov Models AISTATS 2010