Local Regularization of Noisy Point Clouds: Improved Global Geometric Estimates and Data Analysis.
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- Journal of Machine Learning Research, 2019, v. 20, n. 117-136, p. 1
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- Article
Works matching IS 15324435 AND DT 2019 AND VI 20 AND IP 117-136
Results: 19
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Gaussian Processes with Linear Operator Inequality Constraints.
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- Journal of Machine Learning Research, 2019, v. 20, n. 117-136, p. 1
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3
Stochastic Variance-Reduced Cubic Regularization Methods.
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- Journal of Machine Learning Research, 2019, v. 20, n. 117-136, p. 1
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4
Logical Explanations for Deep Relational Machines Using Relevance Information.
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- Journal of Machine Learning Research, 2019, v. 20, n. 117-136, p. 1
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5
Causal Learning via Manifold Regularization.
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- Journal of Machine Learning Research, 2019, v. 20, n. 117-136, p. 1
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6
Learning Representations of Persistence Barcodes.
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- Journal of Machine Learning Research, 2019, v. 20, n. 117-136, p. 1
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7
Deep Exploration via Randomized Value Functions.
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- Journal of Machine Learning Research, 2019, v. 20, n. 117-136, p. 1
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8
Approximate Profile Maximum Likelihood.
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- Journal of Machine Learning Research, 2019, v. 20, n. 117-136, p. 1
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9
Spurious Valleys in One-hidden-layer Neural Network Optimization Landscapes.
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- Journal of Machine Learning Research, 2019, v. 20, n. 117-136, p. 1
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10
Time-to-Event Prediction with Neural Networks and Cox Regression.
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- Journal of Machine Learning Research, 2019, v. 20, n. 117-136, p. 1
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11
ORCA: A Matlab/Octave Toolbox for Ordinal Regression.
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- Journal of Machine Learning Research, 2019, v. 20, n. 117-136, p. 1
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12
ADMMBO: Bayesian Optimization with Unknown Constraints using ADMM.
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- Journal of Machine Learning Research, 2019, v. 20, n. 117-136, p. 1
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13
Decoupling Sparsity and Smoothness in the Dirichlet Variational Autoencoder Topic Model.
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- Journal of Machine Learning Research, 2019, v. 20, n. 117-136, p. 1
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14
More Efficient Estimation for Logistic Regression with Optimal Subsamples.
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- Journal of Machine Learning Research, 2019, v. 20, n. 117-136, p. 1
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15
Binarsity: a penalization for one-hot encoded features in linear supervised learning.
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- Journal of Machine Learning Research, 2019, v. 20, n. 117-136, p. 1
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16
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction.
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- Journal of Machine Learning Research, 2019, v. 20, n. 117-136, p. 1
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17
Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models.
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- Journal of Machine Learning Research, 2019, v. 20, n. 117-136, p. 1
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18
Ivanov-Regularised Least-Squares Estimators over Large RKHSs and Their Interpolation Spaces.
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- Journal of Machine Learning Research, 2019, v. 20, n. 117-136, p. 1
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19
Generic Inference in Latent Gaussian Process Models.
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- Journal of Machine Learning Research, 2019, v. 20, n. 117-136, p. 1
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- Article