Found: 25
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Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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On Mahalanobis Distance in Functional Settings.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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Practical Locally Private Heavy Hitters.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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Lower Bounds for Testing Graphical Models: Colorings and Antiferromagnetic Ising Models.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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On ℓ<sub>p</sub>-Support Vector Machines and Multidimensional Kernels.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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- Article
High-Dimensional Interactions Detection with Sparse Principal Hessian Matrix.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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DESlib: A Dynamic ensemble selection library in Python.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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- Article
Lower Bounds for Parallel and Randomized Convex Optimization.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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A Low Complexity Algorithm with O(√T) Regret and O(1) Constraint Violations for Online Convex Optimization with Long Term Constraints.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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- Article
Connecting Spectral Clustering to Maximum Margins and Level Sets.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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- Article
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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- Article
A Unified Framework for Structured Graph Learning via Spectral Constraints.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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- Article
Path-Based Spectral Clustering: Guarantees, Robustness to Outliers, and Fast Algorithms.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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- Article
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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Target Propagation in Recurrent Neural Networks.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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Generalized probabilistic principal component analysis of correlated data.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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A model of fake data in data-driven analysis.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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Neyman-Pearson classification: parametrics and sample size requirement.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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Distributed Feature Screening via Componentwise Debiasing.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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A Statistical Learning Approach to Modal Regression.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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Online Sufficient Dimension Reduction Through Sliced Inverse Regression.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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Universal Latent Space Model Fitting for Large Networks with Edge Covariates.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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