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1219 directly classified papers

Papers per year

Papers

Universal Measurement Bounds for Structured Sparse Signal Recovery AISTATS 2012
High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods AISTATS 2012
Wilks’ phenomenon and penalized likelihood-ratio test for nonparametric curve registration AISTATS 2012
A Kernel Two-Sample Test JMLR 2012
The Perturbed Variation NIPS 2012
On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models AISTATS 2012
A Note on Metric Properties for Some Divergence Measures: The Gaussian Case ACML 2012
Link Prediction in Graphs with Autoregressive Features NIPS 2012
Fast Resampling Weighted v-Statistics NIPS 2012
Semiparametric Principal Component Analysis NIPS 2012
State Estimation for Legged Robots - Consistent Fusion of Leg Kinematics and IMU RSS 2012
Transelliptical Component Analysis NIPS 2012
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses NIPS 2012
Robust Kernel Density Estimation JMLR 2012
Coding efficiency and detectability of rate fluctuations with non-Poisson neuronal firing NIPS 2012
Active Learning of Multi-Index Function Models NIPS 2012
Reconstruction from Anisotropic Random Measurements COLT 2012
Multi-Task Averaging NIPS 2012
Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data NIPS 2012
Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation NIPS 2012
Sparse Approximate Manifolds for Differential Geometric MCMC NIPS 2012
Assessing Blinding in Clinical Trials NIPS 2012
L1 Covering Numbers for Uniformly Bounded Convex Functions COLT 2012
The Banana Distribution is Gaussian: A Localization Study with Exponential Coordinates RSS 2012
Dimensionality Dependent PAC-Bayes Margin Bound NIPS 2012