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Papers

224,410 papers found · incl. 25,406 awaiting a processed abstract Focus on papers with abstracts
Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets
Jie Wang, Zhanqiu Zhang, Jieping Ye
2019 JMLR
A Kernel Multiple Change-point Algorithm via Model Selection
Sylvain Arlot, Alain Celisse, Zaid Harchaoui
2019 JMLR
Sparse Kernel Regression with Coefficient-based ℓ_q-regularization
Lei Shi, Xiaolin Huang, Yunlong Feng et al.
2019 JMLR
Learning by Unsupervised Nonlinear Diffusion
Mauro Maggioni, James M. Murphy
2019 JMLR
Optimal Convergence Rates for Convex Distributed Optimization in Networks
Kevin Scaman, Francis Bach, Sébastien Bubeck et al.
2019 JMLR
GraSPy: Graph Statistics in Python
Jaewon Chung, Benjamin D. Pedigo, Eric W. Bridgeford et al.
2019 JMLR
Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming
Ali Ahmed, Alireza Aghasi, Paul Hand
2019 JMLR
SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition
Yuntao Chen, Chenxia Han, Yanghao Li et al.
2019 JMLR
Quantifying Uncertainty in Online Regression Forests
Theodore Vasiloudis, Gianmarco De Francisci Morales, Henrik Boström
2019 JMLR
Convergence Guarantees for a Class of Non-convex and Non-smooth Optimization Problems
Koulik Khamaru, Martin J. Wainwright
2019 JMLR
Approximation Algorithms for Stochastic Clustering
David G. Harris, Shi Li, Thomas Pensyl et al.
2019 JMLR
High-dimensional Varying Index Coefficient Models via Stein's Identity
Sen Na, Zhuoran Yang, Zhaoran Wang et al.
2019 JMLR
Nonparametric Estimation of Probability Density Functions of Random Persistence Diagrams
Vasileios Maroulas, Joshua L Mike, Christopher Oballe
2019 JMLR
Learning Optimized Risk Scores
Berk Ustun, Cynthia Rudin
2019 JMLR
On Asymptotic and Finite-Time Optimality of Bayesian Predictors
Daniil Ryabko
2019 JMLR
Collective Matrix Completion
Mokhtar Z. Alaya, Olga Klopp
2019 JMLR
Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise
Niklas Pfister, Sebastian Weichwald, Peter Bühlmann et al.
2019 JMLR
Characterizing the Sample Complexity of Pure Private Learners
Amos Beimel, Kobbi Nissim, Uri Stemmer
2019 JMLR
Bayesian Optimization for Policy Search via Online-Offline Experimentation
Benjamin Letham, Eytan Bakshy
2019 JMLR
Convergence of Gaussian Belief Propagation Under General Pairwise Factorization: Connecting Gaussian MRF with Pairwise Linear Gaussian Model
Bin Li, Yik-Chung Wu
2019 JMLR
Minimal Sample Subspace Learning: Theory and Algorithms
Zhenyue Zhang, Yuqing Xia
2019 JMLR
Model-free Nonconvex Matrix Completion: Local Minima Analysis and Applications in Memory-efficient Kernel PCA
Ji Chen, Xiaodong Li
2019 JMLR
Provably Accurate Double-Sparse Coding
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde
2019 JMLR
Nonparametric Bayesian Aggregation for Massive Data
Zuofeng Shang, Botao Hao, Guang Cheng
2019 JMLR
Decentralized Dictionary Learning Over Time-Varying Digraphs
Amir Daneshmand, Ying Sun, Gesualdo Scutari et al.
2019 JMLR