Papers

1,876 papers found
Matrix Completion from Noisy Entries
Raghunandan H. Keshavan, Andrea Montanari, Sewoong Oh
2010 JMLR
Composite Binary Losses
Mark D. Reid, Robert C. Williamson
2010 JMLR
The Sample Complexity of Dictionary Learning
Daniel Vainsencher, Shie Mannor, Alfred M. Bruckstein
2011 JMLR
A Geometric Approach to Sample Compression
Benjamin I.P. Rubinstein, J. Hyam Rubinstein
2012 JMLR
Distribution-Dependent Sample Complexity of Large Margin Learning
Sivan Sabato, Nathan Srebro, Naftali Tishby
2013 JMLR
Recursive Teaching Dimension, VC-Dimension and Sample Compression
Thorsten Doliwa, Gaojian Fan, Hans Ulrich Simon et al.
2014 JMLR
Online Learning via Sequential Complexities
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
2015 JMLR
Distributed Matrix Completion and Robust Factorization
Lester Mackey, Ameet Talwalkar, Michael I. Jordan
2015 JMLR
Completing Any Low-rank Matrix, Provably
Yudong Chen, Srinadh Bhojanapalli, Sujay Sanghavi et al.
2015 JMLR
On the Complexity of Best-Arm Identification in Multi-Armed Bandit Models
Emilie Kaufmann, Olivier Cappé, Aurélien Garivier
2016 JMLR
Composite Multiclass Losses
Robert C. Williamson, Elodie Vernet, Mark D. Reid
2016 JMLR
2017 JMLR
Rank Determination for Low-Rank Data Completion
Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal
2017 JMLR
Knowledge Graph Completion via Complex Tensor Factorization
Théo Trouillon, Christopher R. Dance, Éric Gaussier et al.
2017 JMLR
Matrix Completion with Noisy Entries and Outliers
Raymond K. W. Wong, Thomas C. M. Lee
2017 JMLR
Compact Convex Projections
Steffen Grünewälder
2018 JMLR
Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning
Niloofar Yousefi, Yunwen Lei, Marius Kloft et al.
2018 JMLR
Optimal Quantum Sample Complexity of Learning Algorithms
Srinivasan Arunachalam, Ronald de Wolf
2018 JMLR