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TitleStatusHype
The Information Geometry of Mirror Descent—0
Distributed parameter estimation of discrete hierarchical models via marginal likelihoods—0
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning—0
Surface Registration Using Genetic Algorithm in Reduced Search Space—0
An Unsupervised Parameter Estimation Algorithm for a Generative Dependency N-gram Language Model—0
Constrained Bayesian Inference for Low Rank Multitask Learning—0
Exponentially Fast Parameter Estimation in Networks Using Distributed Dual Averaging—0
Variational Bayes Approximations for Clustering via Mixtures of Normal Inverse Gaussian Distributions—0
Discriminative Parameter Estimation for Random Walks Segmentation—0
Likelihood Adaptively Modified Penalties—0
A Likelihood Ratio Approach for Probabilistic Inequalities—0
High dimensional Sparse Gaussian Graphical Mixture Model—0
Mixtures of Common Skew-t Factor Analyzers—0
On-line Bayesian parameter estimation in general non-linear state-space models: A tutorial and new results—0
Accuracy of MAP segmentation with hidden Potts and Markov mesh prior models via Path Constrained Viterbi Training, Iterated Conditional Modes and Graph Cut based algorithms—0
Loss minimization and parameter estimation with heavy tails—0
A Direct Estimation of High Dimensional Stationary Vector Autoregressions—0
Constrained Optimization for a Subset of the Gaussian Parsimonious Clustering Models—0
A Variational Approximations-DIC Rubric for Parameter Estimation and Mixture Model Selection Within a Family Setting—0
Relaxed Sparse Eigenvalue Conditions for Sparse Estimation via Non-convex Regularized Regression—0
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression—0
Learning to encode motion using spatio-temporal synchrony—0
Flexible sampling of discrete data correlations without the marginal distributions—0
Discriminative Parameter Estimation for Random Walks Segmentation: Technical Report—0
Particle approximations of the score and observed information matrix for parameter estimation in state space models with linear computational cost—0
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