Works matching IS 15324435 AND DT 2018 AND VI 19 AND IP 1-26

Results: 26

Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

Grigoryeva, Lyudmila;
Ortega, Juan-Pablo

Publication type:

Article

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

Raissi, Maziar

Publication type:

Article

OpenEnsembles: A Python Resource for Ensemble Clustering.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

Ronan, Tom;
Anastasio, Shawn;
Zhijie Qi;
Sloutsky, Roman;
Naegle, Kristen M.;
Vieira Tavares, Pedro Henrique S.

Publication type:

Article

Experience Selection in Deep Reinforcement Learning for Control.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

de Bruin, Tim;
Kober, Jens;
Tuyls, Karl;
Babuška, Robert

Publication type:

Article

Reverse Iterative Volume Sampling for Linear Regression.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

Dereziński, Michał;
Warmuth, Manfred K.

Publication type:

Article

Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

Yi Zhou;
Yingbin Liang;
Yaoliang Yu;
Wei Dai;
Xing, Eric P.

Publication type:

Article

RSG: Beating Subgradient Method without Smoothness and Strong Convexity.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

Tianbao Yang;
Qihang Lin

Publication type:

Article

Can We Trust the Bootstrap in High-dimensions? The Case of Linear Models.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

El Karoui, Noureddine;
Purdom, Elizabeth

Publication type:

Article

Model-Free Trajectory-based Policy Optimization with Monotonic Improvement.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

Akrour, Riad;
Abdolmaleki, Abbas;
Abdulsamad, Hany;
Peters, Jan;
Neumann, Gerhard

Publication type:

Article

Change-Point Computation for Large Graphical Models: A Scalable Algorithm for Gaussian Graphical Models with Change-Points.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

Bybee, Leland;
Atchadé, Yves

Publication type:

Article

A Constructive Approach to L<sub>0</sub> Penalized Regression.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

Jian Huang;
Yuling Jiao;
Yanyan Liu;
Xiliang Lu

Publication type:

Article

Regularized Optimal Transport and the Rot Mover's Distance.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

Dessein, Arnaud;
Papadakis, Nicolas;
Rouas, Jean-Luc

Publication type:

Article

Refining the Confidence Level for Optimistic Bandit Strategies.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

Lattimore, Tor

Publication type:

Article

ThunderSVM: A Fast SVM Library on GPUs and CPUs.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

Zeyi Wen;
Jiashuai Shi;
Qinbin Li;
Bingsheng He;
Jian Chenz

Publication type:

Article

ELFI: Engine for Likelihood-Free Inference.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

Lintusaari, Jarno;
Vuollekoski, Henri;
Kangasrääsiö, Antti;
Skytén, Kusti;
Järvenpää, Marko;
Marttinen, Pekka;
Gutmann, Michael U.;
Vehtari, Aki;
Corander, Jukka;
Kaski, Samuel

Publication type:

Article

Statistical Analysis and Parameter Selection for Mapper.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

Carrière, Mathieu;
Michel, Bertrand;
Oudot, Steve

Publication type:

Article

Scalable Bayes via Barycenter in Wasserstein Space.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

Srivastava, Sanvesh;
Cheng Li;
Dunson, David B.

Publication type:

Article

A Robust Learning Approach for Regression Models Based on Distributionally Robust Optimization.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

Chen, Ruidi;
Paschalidis, Ioannis Ch.

Publication type:

Article

Patchwork Kriging for Large-scale Gaussian Process Regression.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

Chiwoo Park;
Apley, Daniel

Publication type:

Article

Robust Synthetic Control.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

Amjad, Muhammad;
Shah, Devavrat;
Shen, Dennis

Publication type:

Article

Streaming kernel regression with provably adaptive mean, variance, and regularization.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

Durand, Audrey;
Maillard, Odalric-Ambrym;
Pineau, Joelle

Publication type:

Article

Dual Principal Component Pursuit.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

Tsakiris, Manolis C.;
Vidal, René

Publication type:

Article

A Two-Stage Penalized Least Squares Method for Constructing Large Systems of Structural Equations.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

Chen Chen;
Min Ren;
Min Zhang;
Dabao Zhang

Publication type:

Article

A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

Alaa, Ahmed M.;
van der Schaar, Mihaela

Publication type:

Article

Numerical Analysis near Singularities in RBF Networks.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

Weili Guo;
Haikun Wei;
Yew-Soon Ong;
Hervas, Jaime Rubio;
Junsheng Zhao;
Hai Wang;
Kanjian Zhang

Publication type:

Article

Approximate Submodularity and its Applications: Subset Selection, Sparse Approximation and Dictionary Selection.

Published in:

Journal of Machine Learning Research, 2018, v. 19, n. 1-26, p. 1

By:

Das, Abhimanyu;
Kempe, David

Publication type:

Article