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1219 directly classified papers

Papers per year

Papers

On the Sample Complexity of Robust PCA NIPS 2012
An Asymptotic Behaviour of the Marginal Likelihood for General Markov Models JMLR 2011
Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs NIPS 2011
Learning Auto-regressive Models from Sequence and Non-sequence Data NIPS 2011
Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets JMLR 2011
Multi-Label Output Codes using Canonical Correlation Analysis AISTATS 2011
Mapping Kernels Defined Over Countably Infinite Mapping Systems and their Application ACML 2011
Structural equations and divisive normalization for energy-dependent component analysis NIPS 2011
Quasi-Newton Methods for Markov Chain Monte Carlo NIPS 2011
Finite Time Analysis of Stratified Sampling for Monte Carlo NIPS 2011
A More Powerful Two-Sample Test in High Dimensions using Random Projection NIPS 2011
Group Lasso Estimation of High-dimensional Covariance Matrices JMLR 2011
Statistical Performance of Convex Tensor Decomposition NIPS 2011
Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment NIPS 2011
On the Estimation of $\alpha$-Divergences AISTATS 2011
Sparse Linear Identifiable Multivariate Modeling JMLR 2011
A novel family of non-parametric cumulative based divergences for point processes NIPS 2010
An Exponential Model for Infinite Rankings JMLR 2010
A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection AISTATS 2010
Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models NIPS 2010
Collaborative Filtering via Rating Concentration AISTATS 2010
Stochastic Composite Likelihood JMLR 2010
Composite Binary Losses JMLR 2010
Deterministic Bayesian inference for the $p*$ model AISTATS 2010
Model Selection: Beyond the Bayesian/Frequentist Divide JMLR 2010