Works matching IS 15324435 AND DT 2017 AND VI 18 AND IP 124/149
Results: 26
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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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