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Statistics

684 papers

Papers per year

1
11
12
46
39
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Papers

Stability of Density-Based Clustering JMLR 2012
High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion JMLR 2012
Spectral Methods for Learning Multivariate Latent Tree Structure NIPS 2011
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss NIPS 2011
A More Powerful Two-Sample Test in High Dimensions using Random Projection NIPS 2011
Empirical models of spiking in neural populations NIPS 2011
Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment NIPS 2011
Information Rates and Optimal Decoding in Large Neural Populations NIPS 2011
Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction NIPS 2011
Sparse recovery by thresholded non-negative least squares NIPS 2011
On the accuracy of l1-filtering of signals with block-sparse structure NIPS 2011
Differentially Private M-Estimators NIPS 2011
How biased are maximum entropy models? NIPS 2011
Improving Policy Gradient Estimates with Influence Information ACML 2011
Generalization Bound for Infinitely Divisible Empirical Process AISTATS 2011
Competitive Closeness Testing COLT 2011
A New Algorithm for Compressed Counting with Applications in Shannon Entropy Estimation in Dynamic Data COLT 2011
Adaptive Density Level Set Clustering COLT 2011
Linear readout from a neural population with partial correlation data NIPS 2010
Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains NIPS 2010
Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models NIPS 2010
Scrambled Objects for Least-Squares Regression NIPS 2010
Smoothness, Low Noise and Fast Rates NIPS 2010
A novel family of non-parametric cumulative based divergences for point processes NIPS 2010
Rates of convergence for the cluster tree NIPS 2010