Lower Bounds for Parallel and Randomized Convex Optimization.
- Published in:
- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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- Publication type:
- Article
Works matching IS 15324435 AND DT 2020 AND VI 21 AND IP 1-25
Results: 25
1
2
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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- Article
3
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
4
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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- Article
5
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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- Publication type:
- Article
6
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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- Publication type:
- Article
7
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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- Publication type:
- Article
8
High-Dimensional Interactions Detection with Sparse Principal Hessian Matrix.
- Published in:
- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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- Publication type:
- Article
9
Generalized probabilistic principal component analysis of correlated data.
- Published in:
- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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- Publication type:
- Article
10
Neyman-Pearson classification: parametrics and sample size requirement.
- Published in:
- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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- Publication type:
- Article
11
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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- Article
12
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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- Article
13
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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- Publication type:
- Article
14
On ℓ<sub>p</sub>-Support Vector Machines and Multidimensional Kernels.
- Published in:
- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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- Publication type:
- Article
15
DESlib: A Dynamic ensemble selection library in Python.
- Published in:
- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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- Publication type:
- Article
16
Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data.
- Published in:
- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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- Publication type:
- Article
17
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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- Publication type:
- Article
18
Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information.
- Published in:
- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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- Publication type:
- Article
19
Connecting Spectral Clustering to Maximum Margins and Level Sets.
- Published in:
- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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- Publication type:
- Article
20
Target Propagation in Recurrent Neural Networks.
- Published in:
- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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- Publication type:
- Article
21
Path-Based Spectral Clustering: Guarantees, Robustness to Outliers, and Fast Algorithms.
- Published in:
- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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- Publication type:
- Article
22
A model of fake data in data-driven analysis.
- Published in:
- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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- Article
23
A Statistical Learning Approach to Modal Regression.
- Published in:
- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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- Article
24
Universal Latent Space Model Fitting for Large Networks with Edge Covariates.
- Published in:
- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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- Publication type:
- Article
25
A Low Complexity Algorithm with O(√T) Regret and O(1) Constraint Violations for Online Convex Optimization with Long Term Constraints.
- Published in:
- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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- Publication type:
- Article