Works in Journal of Machine Learning Research, 2019, Vol 20, Issue 161-184

Results: 23

DPPy: DPP Sampling with Python.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Gautiery, Guillaume;
Politoy, Guillermo;
Bardenety, Rémi;
Valkoz, Michal

Publication type:

Article

Model Selection in Bayesian Neural Networks via Horseshoe Priors.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Ghosh, Soumya;
Jiayu Yao;
Doshi-Velez, Finale

Publication type:

Article

Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Castro, Daniel C.;
Tan, Jeremy;
Kainz, Bernhard;
Konukoglu, Ender;
Glocker, Ben

Publication type:

Article

Differentiable reservoir computing.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Grigoryeva, Lyudmila;
Ortega, Juan-Pablo

Publication type:

Article

Neural Empirical Bayes.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Saremi, Saeed;
Hyvärinen, Aapo

Publication type:

Article

Why do deep convolutional networks generalize so poorly to small image transformations?

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Azulay, Aharon;
Weiss, Yair

Publication type:

Article

Determinantal Point Processes for Coresets.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Tremblay, Nicolas;
Barthelmé, Simon;
Amblard, Pierre-Olivier

Publication type:

Article

On the Convergence of Gaussian Belief Propagation with Nodes of Arbitrary Size.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Kamper, Francois;
Steel, Sarel J.;
du Preez, Johan A.

Publication type:

Article

Stochastic Canonical Correlation Analysis.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Chao Gao;
Garber, Dan;
Srebro, Nathan;
Jialei Wang;
Weiran Wang

Publication type:

Article

New Convergence Aspects of Stochastic Gradient Algorithms.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Nguyen, Lam M.;
Phuong Ha Nguyen;
Richtárik, Peter;
Scheinberg, Katya;
Takác, Martin;
van Dijk, Marten

Publication type:

Article

Fast Automatic Smoothing for Generalized Additive Models.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

El-Bachir, Yousra;
Davison, Anthony C.

Publication type:

Article

Unsupervised Evaluation and Weighted Aggregation of Ranked Classification Predictions.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Ahsen, Mehmet Eren;
Vogel, Robert M.;
Stolovitzky, Gustavo A.

Publication type:

Article

DBSCAN: Optimal Rates For Density-Based Cluster Estimation.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Daren Wang;
Xinyang Lu;
Rinaldo, Alessandro

Publication type:

Article

Learning Overcomplete, Low Coherence Dictionaries with Linear Inference.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Livezey, Jesse A.;
Bujan, Alejandro F.;
Sommer, Friedrich T.

Publication type:

Article

Shared Subspace Models for Multi-Group Covariance Estimation.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Franks, Alexander M.;
Hoff, Peter

Publication type:

Article

Embarrassingly Parallel Inference for Gaussian Processes.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Minyi Zhang, Michael;
Williamson, Sinead A.

Publication type:

Article

DataWig: Missing Value Imputation for Tables.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Bießmann, Felix;
Rukat, Tammo;
Schmidt, Phillipp;
Naidu, Prathik;
Schelter, Sebastian;
Taptunov, Andrey;
Lange, Dustin;
Salinas, David

Publication type:

Article

All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Fisher, Aaron;
Rudin, Cynthia;
Dominici, Francesca

Publication type:

Article

Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Cotter, Andrew;
Heinrich Jiang;
Gupta, Maya;
Serena Wang;
Narayan, Taman;
Seungil You;
Sridharan, Karthik

Publication type:

Article

The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Sondhi, Arjun;
Shojaie, Ali

Publication type:

Article

Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Jie Wang;
Zhanqiu Zhang;
Jieping Ye

Publication type:

Article

A Kernel Multiple Change-point Algorithm via Model Selection.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Arlot, Sylvain;
Celisse, Alain;
Harchaoui, Zaid

Publication type:

Article

Sparse Kernel Regression with Coefficient-based ℓregularization.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 161-184, p. 1

By:

Lei Shi;
Xiaolin Huang;
Yunlong Feng;
Suykens, Johan A. K.

Publication type:

Article