Works matching IS 15324435 AND DT 2018 AND VI 19 AND IP 56-84
Results: 29
Optimal Bounds for Johnson-Lindenstrauss Transformations.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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DALEX: Explainers for Complex Predictive Models in R.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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Scikit-Multiow: A Multi-output Streaming Framework.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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Clustering is semidefinitely not that hard: Nonnegative SDP for manifold disentangling.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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Multivariate Bayesian Structural Time Series Model.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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Optimal Quantum Sample Complexity of Learning Algorithms.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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The Implicit Bias of Gradient Descent on Separable Data.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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Seglearn: A Python Package for Learning Sequences and Time Series.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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Improved Asynchronous Parallel Optimization Analysis for Stochastic Incremental Methods.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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Extrapolating Expected Accuracies for Large Multi-Class Problems.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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Hinge-Minimax Learner for the Ensemble of Hyperplanes.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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Short-term Sparse Portfolio Optimization Based on Alternating Direction Method of Multipliers.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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A New and Flexible Approach to the Analysis of Paired Comparison Data.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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Scaling up Data Augmentation MCMC via Calibration.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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A Note on Quickly Sampling a Sparse Matrix with Low Rank Expectation.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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Robust PCA by Manifold Optimization.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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A Random Matrix Analysis and Improvement of Semi-Supervised Learning for Large Dimensional Data.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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Simple Classification Using Binary Data.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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Online Bootstrap Confidence Intervals for the Stochastic Gradient Descent Estimator.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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Inference via Low-Dimensional Couplings.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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Using Side Information to Reliably Learn Low-Rank Matrices from Missing and Corrupted Observations.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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Maximum Selection and Sorting with Adversarial Comparators.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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Sparse Estimation in Ising Model via Penalized Monte Carlo Methods.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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Theoretical Analysis of Cross-Validation for Estimating the Risk of the k-Nearest Neighbor Classiffier.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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On Semiparametric Exponential Family Graphical Models.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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An efficient distributed learning algorithm based on effective local functional approximations.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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Modular Proximal Optimization for Multidimensional Total-Variation Regularization.
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- Journal of Machine Learning Research, 2018, v. 19, n. 56-84, p. 1
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