Found: 36
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Convex Programming for Estimation in Nonlinear Recurrent Models.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Lower Bounds for Learning Distributions under Communication Constraints via Fisher Information.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Stable Regression: On the Power of Optimization over Randomization in Training Regression Problems.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Learning Mixed Latent Tree Models.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Spectral Deconfounding via Perturbed Sparse Linear Models.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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A Group-Theoretic Framework for Data Augmentation.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Learning Sums of Independent Random Variables with Sparse Collective Support.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Efficient Inference for Nonparametric Hawkes Processes Using Auxiliary Latent Variables.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Robust high dimensional learning for Lipschitz and convex losses.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Risk Bounds for Reservoir Computing.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Posterior sampling strategies based on discretized stochastic differential equations for machine learning applications.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Significance Tests for Neural Networks.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Spectral bandits.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Best Practices for Scientific Research on Neural Architecture Search.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Online matrix factorization for Markovian data and applications to Network Dictionary Learning.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Dual Extrapolation for Sparse Generalized Linear Models.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Geomstats: A Python Package for Riemannian Geometry in Machine Learning.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Adaptive Rates for Total Variation Image Denoising.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Traces of Class/Cross-Class Structure Pervade Deep Learning Spectra.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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A Sparse Semismooth Newton Based Proximal Majorization-Minimization Algorithm for Nonconvex Square-Root-Loss Regression Problems.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Fair Data Adaptation with Quantile Preservation.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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algcomparison: Comparing the Performance of Graphical Structure Learning Algorithms with TETRAD.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Rank-based Lasso - efficient methods for high-dimensional robust model selection.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Nonparametric graphical model for counts.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Updates.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Recovery of a Mixture of Gaussians by Sum-of-norms Clustering.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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AdaGrad stepsizes: Sharp convergence over nonconvex landscapes.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Theory of Curriculum Learning, with Convex Loss Functions.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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High-dimensional Quantile Tensor Regression.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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On Efficient Adjustment in Causal Graphs.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Diffeomorphic Learning.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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Ultra-High Dimensional Single-Index Quantile Regression.
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- Journal of Machine Learning Research, 2020, v. 20, p. 1
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