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Statistical Learning

65 directly classified papers

Papers per year

Papers

Newton-Stein Method: A Second Order Method for GLMs via Stein's Lemma NIPS 2015
Estimating Mixture Models via Mixtures of Polynomials NIPS 2015
Convergence Rates of Active Learning for Maximum Likelihood Estimation NIPS 2015
Multivariate f-divergence Estimation With Confidence NIPS 2014
Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology NIPS 2014
Exact Post Model Selection Inference for Marginal Screening NIPS 2014
Learning Time-Varying Coverage Functions NIPS 2014
Convex Relaxations for Permutation Problems NIPS 2013
Predictive PAC Learning and Process Decompositions NIPS 2013
Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. NIPS 2013
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss NIPS 2011
Empirical Bernstein Inequalities for U-Statistics NIPS 2010
Time-rescaling methods for the estimation and assessment of non-Poisson neural encoding models NIPS 2009
Efficient Moments-based Permutation Tests NIPS 2009
Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning NIPS 2009