Works matching IS 15324435 AND DT 2020 AND VI 20

Results: 36

Traces of Class/Cross-Class Structure Pervade Deep Learning Spectra.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Papyan, Vardan

Publication type:

Article

Online matrix factorization for Markovian data and applications to Network Dictionary Learning.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Lyu, Hanbaek;
Needell, Deanna;
Balzano, Laura

Publication type:

Article

High-dimensional Quantile Tensor Regression.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Wenqi Lu;
Zhongyi Zhu;
Heng Lian

Publication type:

Article

Learning Mixed Latent Tree Models.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Can Zhou;
Xiaofei Wang;
Jianhua Guo

Publication type:

Article

Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Henderson, Peter;
Hu, Jieru;
Romoff, Joshua;
Brunskill, Emma;
Jurafsky, Dan;
Pineau, Joelle

Publication type:

Article

Adaptive Rates for Total Variation Image Denoising.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Ortelli, Francesco;
de Geer, Sara van

Publication type:

Article

On Efficient Adjustment in Causal Graphs.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Witte, Janine;
Henckel, Leonard;
Maathuis, Marloes H.;
Didelez, Vanessa

Publication type:

Article

A Group-Theoretic Framework for Data Augmentation.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Chen, Shuxiao;
Dobriban, Edgar;
Lee, Jane H.

Publication type:

Article

Rank-based Lasso - efficient methods for high-dimensional robust model selection.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Rejchel, Wojciech;
Bogdan, Małgorzata

Publication type:

Article

Best Practices for Scientific Research on Neural Architecture Search.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Lindauer, Marius;
Hutter, Frank

Publication type:

Article

Fair Data Adaptation with Quantile Preservation.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Plečko, Drago;
Meinshausen, Nicolai

Publication type:

Article

Efficient Inference for Nonparametric Hawkes Processes Using Auxiliary Latent Variables.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Feng Zhou;
Zhidong Li;
Xuhui Fan;
Yang Wang;
Sowmya, Arcot;
Fang Chen

Publication type:

Article

Risk Bounds for Reservoir Computing.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Gonon, Lukas;
Grigoryeva, Lyudmila;
Ortega, Juan-Pablo

Publication type:

Article

Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Hämäläinen, Joonas;
Alencar, Alisson S. C.;
Kärkkäinen, Tommi;
Mattos, César L. C.;
Souza Júnior, Amauri H.;
Gomes, João P. P.

Publication type:

Article

algcomparison: Comparing the Performance of Graphical Structure Learning Algorithms with TETRAD.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Ramsey, Joseph D.;
Malinsky, Daniel;
Bui, Kevin V.

Publication type:

Article

The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Updates.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Stich, Sebastian U.;
Karimireddy, Sai Praneeth

Publication type:

Article

Lower Bounds for Learning Distributions under Communication Constraints via Fisher Information.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Barnes, Leighton Pate;
Han, Yanjun;
Özgür, Ayfer

Publication type:

Article

Convex Programming for Estimation in Nonlinear Recurrent Models.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Bahmani, Sohail;
Romberg, Justin

Publication type:

Article

Dual Extrapolation for Sparse Generalized Linear Models.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Massias, Mathurin;
Vaiter, Samuel;
Gramfort, Alexandre;
Salmon, Joseph

Publication type:

Article

Robust high dimensional learning for Lipschitz and convex losses.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Geoffrey, Chinot;
Guillaume, Lecué;
Matthieu, Lerasle

Publication type:

Article

Spectral Deconfounding via Perturbed Sparse Linear Models.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Ćevid, Domagoj;
Bühlmann, Peter;
Meinshausen, Nicolai

Publication type:

Article

Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Bertsimas, Dimitris;
Li, Michael Lingzhi

Publication type:

Article

Stable Regression: On the Power of Optimization over Randomization in Training Regression Problems.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Bertsimas, Dimitris;
Paskov, Ivan

Publication type:

Article

Nonparametric graphical model for counts.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Roy, Arkaprava;
Dunson, David B.

Publication type:

Article

Posterior sampling strategies based on discretized stochastic differential equations for machine learning applications.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Heber, Frederik;
Trst’anová, Žofia;
Leimkuhler, Benedict

Publication type:

Article

Significance Tests for Neural Networks.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Horel, Enguerrand;
Giesecke, Kay

Publication type:

Article

A Sparse Semismooth Newton Based Proximal Majorization-Minimization Algorithm for Nonconvex Square-Root-Loss Regression Problems.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Peipei Tang;
Chengjing Wang;
Defeng Sun;
Kim-Chuan Toh

Publication type:

Article

Recovery of a Mixture of Gaussians by Sum-of-norms Clustering.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Tao Jiang;
Vavasis, Stephen;
Chen Wen Zhai

Publication type:

Article

Ultra-High Dimensional Single-Index Quantile Regression.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Yuankun Zhang;
Heng Lian;
Yan Yu

Publication type:

Article

Geomstats: A Python Package for Riemannian Geometry in Machine Learning.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Miolane, Nina;
Guigui, Nicolas;
Brigant, Alice Le;
Mathe, Johan;
Hou, Benjamin;
Thanwerdas, Yann;
Heyder, Stefan;
Peltre, Olivier;
Koep, Niklas;
Zaatiti, Hadi;
Hajri, Hatem;
Cabanes, Yann;
Gerald, Thomas;
Chauchat, Paul;
Shewmake, Christian;
Brooks, Daniel;
Kainz, Bernhard;
Donnat, Claire;
Holme, Susan;
Pennec, Xavier

Publication type:

Article

Theory of Curriculum Learning, with Convex Loss Functions.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Weinshall, Daphna;
Amir, Dan

Publication type:

Article

Learning Sums of Independent Random Variables with Sparse Collective Support.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

De, Anindya;
Long, Philip M.;
Servedio, Rocco A.

Publication type:

Article

Diffeomorphic Learning.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Younes, Laurent

Publication type:

Article

AdaGrad stepsizes: Sharp convergence over nonconvex landscapes.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Ward, Rachel;
Wu, Xiaoxia;
Bottou, Léon

Publication type:

Article

Spectral bandits.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Kocák, Tomáš;
Munos, Rémi;
Kveton, Branislav;
Agrawal, Shipra;
Valko, Michal

Publication type:

Article

On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach.

Published in:

Journal of Machine Learning Research, 2020, v. 20, p. 1

By:

Tajbakhsh, Sam Davanloo;
Aybat, Necdet Serhat;
Del Castillo, Enrique

Publication type:

Article