Works matching IS 15324435 AND DT 2020 AND VI 21 AND IP 146-188

Results: 40

Near-optimal Individualized Treatment Recommendations.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Haomiao Meng;
Ying-Qi Zhao;
Haoda Fu;
Xingye Qiao

Publication type:

Article

Scikit-network: Graph Analysis in Python.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Bonald, Thomas;
de Lara, Nathan;
Lutz, Quentin;
Charpentier, Bertrand

Publication type:

Article

Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Boyue Li;
Shicong Cen;
Yuxin Chen;
Yuejie Chi

Publication type:

Article

Variational Inference for Computational Imaging Inverse Problems.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Tonolini, Francesco;
Radford, Jack;
Turpin, Alex;
Faccio, Daniele;
Murray-Smith, Roderick

Publication type:

Article

Adaptive Approximation and Generalization of Deep Neural Network with Intrinsic Dimensionality.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Ryumei Nakada;
Masaaki Imaizumi

Publication type:

Article

Optimal Estimation of Sparse Topic Models.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Xin Bing;
Bunea, Florentina;
Wegkamp, Marten

Publication type:

Article

Breaking the Curse of Nonregularity with Subagging -- Inference of the Mean Outcome under Optimal Treatment Regimes.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Chengchun Shi;
Wenbin Lu;
Rui Song

Publication type:

Article

Topology of Deep Neural Networks.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Naitzat, Gregory;
Zhitnikov, Andrey;
Lek-Heng Lim

Publication type:

Article

Wide Neural Networks with Bottlenecks are Deep Gaussian Processes.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Agrawal, Devanshu;
Papamarkou, Theodore;
Hinkle, Jacob

Publication type:

Article

Distributed High-dimensional Regression Under a Quantile Loss Function.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Xi Chen;
Weidong Liu;
Xiaojun Mao;
Zhuoyi Yang

Publication type:

Article

Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Narvekar, Sanmit;
Bei Peng;
Leonetti, Matteo;
Sinapov, Jivko;
Taylor, Matthew E.;
Stone, Peter

Publication type:

Article

High Dimensional Forecasting via Interpretable Vector Autoregression.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Nicholson, William B.;
Wilms, Ines;
Bien, Jacob;
Matteson, David S.

Publication type:

Article

Convex and Non-Convex Approaches for Statistical Inference with Class-Conditional Noisy Labels.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Hyebin Song;
Ran Dai;
Raskutti, Garvesh;
Foygel Barber, Rina

Publication type:

Article

Trust-Region Variational Inference with Gaussian Mixture Models.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Arenz, Oleg;
Mingjun Zhong;
Neumann, Gerhard

Publication type:

Article

Generating Weighted MAX-2-SAT Instances with Frustrated Loops: an RBM Case Study.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Yan Ru Pei;
Haik Manukian;
Di Ventra, Massimiliano

Publication type:

Article

Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Kulunchakov, Andrei;
Mairal, Julien

Publication type:

Article

Kriging Prediction with Isotropic Matérn Correlations: Robustness and Experimental Designs.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Rui Tuo;
Wenjia Wang

Publication type:

Article

Learning Big Gaussian Bayesian Networks: Partition, Estimation and Fusion.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Jiaying Gu;
Qing Zhou

Publication type:

Article

Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Yuka Hashimoto;
Isao Ishikawa;
Masahiro Ikeda;
Yoichi Matsuo;
Yoshinobu Kawahara

Publication type:

Article

Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Yichong Xu;
Balakrishnan, Sivaraman;
Singh, Aarti;
Dubrawski, Artur

Publication type:

Article

Asymptotic Consistency of α-Rényi-Approximate Posteriors.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Jaiswal, Prateek;
Rao, Vinayak;
Honnappa, Harsha

Publication type:

Article

Doubly Distributed Supervised Learning and Inference with High-Dimensional Correlated Outcomes.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Hector, Emily C.;
Song, Peter X.-K.

Publication type:

Article

apricot: Submodular selection for data summarization in Python.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Schreiber, Jacob;
Bilmes, Jeffrey;
Stafford Noble, William

Publication type:

Article

The Optimal Ridge Penalty for Real-world High-dimensional Data Can Be Zero or Negative due to the Implicit Ridge Regularization.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Kobak, Dmitry;
Lomond, Jonathan;
Sanchez, Benoit

Publication type:

Article

Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Mentch, Lucas;
Siyu Zhou

Publication type:

Article

Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Kallus, Nathan;
Masatoshi Uehara

Publication type:

Article

Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Chao Gao;
Yuan Yao;
Weizhi Zhu

Publication type:

Article

Streamlined Computing for Variational Inference with Higher Level Random Effects.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Nolan, Tui H.;
Menictas, Marianne;
Wand, Matt P.

Publication type:

Article

Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Hoiles, William;
Krishnamurthy, Vikram;
Pattanayak, Kunal

Publication type:

Article

Complete Dictionary Learning via ℓ<sup>4</sup>-Norm Maximization over the Orthogonal Group.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Yuexiang Zhai;
Zitong Yang;
Zhenyu Liao;
Wright, John;
Yi Ma

Publication type:

Article

Efficient Adjustment Sets for Population Average Causal Treatment Effect Estimation in Graphical Models.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Rotnitzky, Andrea;
Smucler, Ezequiel

Publication type:

Article

Distributionally Ambiguous Optimization for Batch Bayesian Optimization.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Rontsis, Nikitas;
Osborne, Michael A.;
Goulart, Paul J.

Publication type:

Article

Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Miaoyan Wang;
Lexin Li

Publication type:

Article

Robust Reinforcement Learning with Bayesian Optimisation and Quadrature.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Paul, Supratik;
Chatzilygeroudis, Konstantinos;
Ciosek, Kamil;
Mouret, Jean-Baptiste;
Osborne, Michael A.;
Whiteson, Shimon

Publication type:

Article

The Kalai-Smorodinsky solution for many-objective Bayesian optimization.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Binois, M.;
Picheny, V.;
Taillandier, P.;
Habbal, A.

Publication type:

Article

Dual Iterative Hard Thresholding.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Xiao-Tong Yuan;
Bo Liu;
Lezi Wang;
Qingshan Liu;
Metaxas, Dimitris N.

Publication type:

Article

Local Causal Network Learning for Finding Pairs of Total and Direct Effects.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Yue Liu;
Zhuangyan Fang;
Yangbo He;
Zhi Geng;
Chunchen Liu

Publication type:

Article

Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Junhong Lin;
Cevher, Volkan

Publication type:

Article

New Insights and Perspectives on the Natural Gradient Method.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Martens, James

Publication type:

Article

Consistency of Semi-Supervised Learning Algorithms on Graphs: Probit and One-Hot Methods.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Hoffmann, Franca;
Hosseini, Bamdad;
Zhi Ren;
Stuart, Andrew M.

Publication type:

Article