Works matching IS 15324435 AND DT 2019 AND VI 20 AND IP 57-84

Results: 28

Differentiable Game Mechanics.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Letcher, Alistair;
Balduzzi, David;
Racanière, Sébastien;
Martens, James;
Foerster, Jakob;
Tuyls, Karl;
Graepel, Thore

Publication type:

Article

Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Karakus, Can;
Yifan Sun;
Diggavi, Suhas;
Wotao Yin

Publication type:

Article

Learning to Match via Inverse Optimal Transport.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Ruilin Li;
Xiaojing Ye;
Haomin Zhou;
Hongyuan Zha

Publication type:

Article

Nonuniformity of P-values Can Occur Early in Diverging Dimensions.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Yingying Fan;
Demirkaya, Emre;
Lv, Jinchi

Publication type:

Article

Lazifying Conditional Gradient Algorithms.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Braun, Gábor;
Pokutta, Sebastian;
Zink, Daniel

Publication type:

Article

Prediction Risk for the Horseshoe Regression.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Bhadra, Anindya;
Datta, Jyotishka;
Yunfan Li;
Polson, Nicholas G.;
Willard, Brandon

Publication type:

Article

Generalized Score Matching for Non-Negative Data.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Shiqing Yu;
Drton, Mathias;
Shojaie, Ali

Publication type:

Article

Analysis of Langevin Monte Carlo via Convex Optimization.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Durmus, Alain;
Majewski, Szymon;
Miasojedow, Błażej

Publication type:

Article

On the optimality of the Hedge algorithm in the stochastic regime.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Mourtada, Jaouad;
Gaïffas, Stéphane

Publication type:

Article

Tight Lower Bounds on the VC-dimension of Geometric Set Systems.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Csikós, Mónika;
Mustafa, Nabil H.;
Kupavskii, Andrey

Publication type:

Article

Semi-Analytic Resampling in Lasso.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Tomoyuki Obuchi;
Yoshiyuki Kabashima

Publication type:

Article

Quantification Under Prior Probability Shift: the Ratio Estimator and its Extensions.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Vaz, Afonso Fernandes;
Izbicki, Rafael;
Stern, Rafael Bassi

Publication type:

Article

Fairness Constraints: A Flexible Approach for Fair Classification.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Zafar, Muhammad Bilal;
Valera, Isabel;
Gomez-Rodriguez, Manuel;
Gummadi, Krishna P.

Publication type:

Article

Deep Optimal Stopping.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Becker, Sebastian;
Cheridito, Patrick;
Jentzen, Arnulf

Publication type:

Article

On Consistent Vertex Nomination Schemes.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Lyzinski, Vince;
Levin, Keith;
Priebe, Carey E.

Publication type:

Article

SMART: An Open Source Data Labeling Platform for Supervised Learning.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Chew, Rob;
Wenger, Michael;
Kery, Caroline;
Nance, Jason;
Richards, Keith;
Hadley, Emily;
Baumgartner, Peter

Publication type:

Article

Variance-based Regularization with Convex Objectives.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Duchi, John;
Hongseok Namkoong

Publication type:

Article

Robust Estimation of Derivatives Using Locally Weighted Least Absolute Deviation Regression.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Wen Wu Wang;
Ping Yu;
Lu Lin;
Tiejun Tong

Publication type:

Article

Kernel Approximation Methods for Speech Recognition.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

May, Avner;
Garakani, Alireza Bagheri;
Zhiyun Lu;
Dong Guo;
Kuan Liu;
Bellet, Aurélien;
Linxi Fan;
Collins, Michael;
Hsu, Daniel;
Kingsbury, Brian;
Picheny, Michael;
Fei Sha

Publication type:

Article

Multi-scale Online Learning: Theory and Applications to Online Auctions and Pricing.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Bubeck, Sébastien;
Devanur, Nikhil R.;
Zhiyi Huang;
Niazadeh, Rad

Publication type:

Article

Active Learning for Cost-Sensitive Classification.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Krishnamurthy, Akshay;
Agarwal, Alekh;
Tzu-Kuo Huang;
Daumé III, Hal;
Langford, John

Publication type:

Article

Nearly-tight VC-dimension and Pseudodimension Bounds for Piecewise Linear Neural Networks.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Bartlett, Peter L.;
Harvey, Nick;
Liaw, Christopher;
Mehrabian, Abbas

Publication type:

Article

A Representer Theorem for Deep Kernel Learning.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Bohn, Bastian;
Rieger, Christian;
Griebel, Michael

Publication type:

Article

The Sup-norm Perturbation of HOSVD and Low Rank Tensor Denoising.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Dong Xia;
Fan Zhou

Publication type:

Article

Learnability of Solutions to Conjunctive Queries.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Hubie Chen;
Valeriote, Matthew

Publication type:

Article

Proximal Distance Algorithms: Theory and Practice.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Keys, Kevin L.;
Hua Zhou;
Lange, Kenneth

Publication type:

Article

The Common-directions Method for Regularized Empirical Risk Minimization.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Po-Wei Wang;
Ching-pei Lee;
Chih-Jen Lin

Publication type:

Article

Multi-class Heterogeneous Domain Adaptation.

Published in:

Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1

By:

Joey Tianyi Zhou;
Tsang, Ivor W.;
Sinno Jialin Pan;
Mingkui Tan

Publication type:

Article