A Bayesian Mixed-Effects Model to Learn Trajectories of Changes from Repeated Manifold-Valued Observations.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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Works matching IS 15324435 AND DT 2017 AND VI 18 AND IP 124/149
Results: 26
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Faithfulness of Probability Distributions and Graphs.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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3
Following the Leader and Fast Rates in Online Linear Prediction: Curved Constraint Sets and Other Regularities.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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4
On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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5
Stochastic Gradient Descent as Approximate Bayesian Inference.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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6
STORE: Sparse Tensor Response Regression and Neuroimaging Analysis.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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7
Active-set Methods for Submodular Minimization Problems.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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8
A Nonconvex Approach for Phase Retrieval: Reshaped Wirtinger Flow and Incremental Algorithms.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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9
Poisson Random Fields for Dynamic Feature Models.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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10
Consistency, Breakdown Robustness, and Algorithms for Robust Improper Maximum Likelihood Clustering.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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11
Robust and Scalable Bayes via a Median of Subset Posterior Measures.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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12
Statistical and Computational Guarantees for the Baum-Welch Algorithm.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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13
Minimax Filter: Learning to Preserve Privacy from Inference Attacks.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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14
Regularization and the small-ball method II: complexity dependent error rates.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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15
Dimension Estimation Using Random Connection Models.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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16
Knowledge Graph Completion via Complex Tensor Factorization.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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17
Stabilized Sparse Online Learning for Sparse Data.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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18
A Survey of Preference-Based Reinforcement Learning Methods.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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19
Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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20
Gap Safe Screening Rules for Sparsity Enforcing Penalties.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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21
Generalized SURE for optimal shrinkage of singular values in low-rank matrix denoising.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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22
Community Extraction in Multilayer Networks with Heterogeneous Community Structure.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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23
Adaptive Randomized Dimension Reduction on Massive Data.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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24
Matrix Completion with Noisy Entries and Outliers.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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25
Bayesian Inference for Spatio-temporal Spike-and-Slab Priors.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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26
Generalized Conditional Gradient for Sparse Estimation.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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