Found: 23
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Unsupervised Evaluation and Weighted Aggregation of Ranked Classification Predictions.
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- Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1
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A Kernel Multiple Change-point Algorithm via Model Selection.
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- Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1
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Why do deep convolutional networks generalize so poorly to small image transformations?
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- Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1
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DataWig: Missing Value Imputation for Tables.
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- Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1
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Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning.
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- Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1
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Stochastic Canonical Correlation Analysis.
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- Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1
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Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals.
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- Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1
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DBSCAN: Optimal Rates For Density-Based Cluster Estimation.
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- Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1
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Fast Automatic Smoothing for Generalized Additive Models.
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- Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1
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- Article
All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously.
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- Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1
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Shared Subspace Models for Multi-Group Covariance Estimation.
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- Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1
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DPPy: DPP Sampling with Python.
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- Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1
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Model Selection in Bayesian Neural Networks via Horseshoe Priors.
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- Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1
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Differentiable reservoir computing.
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- Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1
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- Article
Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets.
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- Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1
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- Article
On the Convergence of Gaussian Belief Propagation with Nodes of Arbitrary Size.
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- Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1
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Sparse Kernel Regression with Coefficient-based ℓregularization.
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- Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1
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- Article
Learning Overcomplete, Low Coherence Dictionaries with Linear Inference.
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- Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1
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Embarrassingly Parallel Inference for Gaussian Processes.
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- Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1
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New Convergence Aspects of Stochastic Gradient Algorithms.
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- Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1
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Neural Empirical Bayes.
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- Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1
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- Article
The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks.
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- Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1
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- Article
Determinantal Point Processes for Coresets.
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- Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1
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