Statistical Learning
4,564 papers
Papers per year
2
8
9
7
9
35
42
41
45
70
79
85
113
128
110
150
162
210
299
399
445
487
621
569
324
115
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Papers
A novel family of non-parametric cumulative based divergences for point processes
NeurIPS 2010
A Rotation Test to Verify Latent Structure
JMLR 2010
b-Bit Minwise Hashing for Estimating Three-Way Similarities
NeurIPS 2010
Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary β-Mixing Processes
JMLR 2010
Classification Methods with Reject Option Based on Convex Risk Minimization
JMLR 2010
Consistent Nonparametric Tests of Independence
JMLR 2010
Empirical Bernstein Boosting
AISTATS 2010
Empirical Bernstein Inequalities for U-Statistics
NeurIPS 2010
Empirical Risk Minimization with Approximations of Probabilistic Grammars
NeurIPS 2010
Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs
NeurIPS 2010
Exact inference and learning for cumulative distribution functions on loopy graphs
NeurIPS 2010
Extended Bayesian Information Criteria for Gaussian Graphical Models
NeurIPS 2010
Fast global convergence rates of gradient methods for high-dimensional statistical recovery
NeurIPS 2010
Group Sparse Coding with a Laplacian Scale Mixture Prior
NeurIPS 2010
Heavy-Tailed Process Priors for Selective Shrinkage
NeurIPS 2010
High Dimensional Inverse Covariance Matrix Estimation via Linear Programming
JMLR 2010
High-dimensional Variable Selection with Sparse Random Projections: Measurement Sparsity and Statistical Efficiency
JMLR 2010
Identifying graph-structured activation patterns in networks
NeurIPS 2010
Implicit encoding of prior probabilities in optimal neural populations
NeurIPS 2010
Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance
JMLR 2010
Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains
NeurIPS 2010
Kernel Partial Least Squares is Universally Consistent
AISTATS 2010
Learnability, Stability and Uniform Convergence
JMLR 2010
Learning Bounds for Importance Weighting
NeurIPS 2010
Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity
AISTATS 2010