Papers
Learning Using Anti-Training with Sacrificial Data
Michael L. Valenzuela, Jerzy W. Rozenblit
Learning with Differential Privacy: Stability, Learnability and the Sufficiency and Necessity of ERM Principle
Yu-Xiang Wang, Jing Lei, Stephen E. Fienberg
Lenient Learning in Independent-Learner Stochastic Cooperative Games
Ermo Wei, Sean Luke
LIBMF: A Library for Parallel Matrix Factorization in Shared-memory Systems
Wei-Sheng Chin, Bo-Wen Yuan, Meng-Yuan Yang et al.
Linear Convergence of Randomized Feasible Descent Methods Under the Weak Strong Convexity Assumption
Chenxin Ma, Rachael Tappenden, Martin Takáč
LLORMA: Local Low-Rank Matrix Approximation
Joonseok Lee, Seungyeon Kim, Guy Lebanon et al.
Local Network Community Detection with Continuous Optimization of Conductance and Weighted Kernel K-Means
Twan van Laarhoven, Elena Marchiori
Loss Minimization and Parameter Estimation with Heavy Tails
Daniel Hsu, Sivan Sabato
Low-Rank Doubly Stochastic Matrix Decomposition for Cluster Analysis
Zhirong Yang, Jukka Corander, Erkki Oja
Machine Learning in an Auction Environment
Patrick Hummel, R. Preston McAfee
Measuring Dependence Powerfully and Equitably
Yakir A. Reshef, David N. Reshef, Hilary K. Finucane et al.
Megaman: Scalable Manifold Learning in Python
James McQueen, Marina Meilă, Jacob VanderPlas et al.
MEKA: A Multi-label/Multi-target Extension to WEKA
Jesse Read, Peter Reutemann, Bernhard Pfahringer et al.
Minimax Adaptive Estimation of Nonparametric Hidden Markov Models
Yohann De Castro, Élisabeth Gassiat, Claire Lacour
Minimax Rates in Permutation Estimation for Feature Matching
Olivier Collier, Arnak S. Dalalyan
Minimum Density Hyperplanes
Nicos G. Pavlidis, David P. Hofmeyr, Sotiris K. Tasoulis
MLlib: Machine Learning in Apache Spark
Xiangrui Meng, Joseph Bradley, Burak Yavuz et al.
mlr: Machine Learning in R
Bernd Bischl, Michel Lang, Lars Kotthoff et al.
MOCCA: Mirrored Convex/Concave Optimization for Nonconvex Composite Functions
Rina Foygel Barber, Emil Y. Sidky
Model-free Variable Selection in Reproducing Kernel Hilbert Space
Lei Yang, Shaogao Lv, Junhui Wang
Monotonic Calibrated Interpolated Look-Up Tables
Maya Gupta, Andrew Cotter, Jan Pfeifer et al.
Multi-Objective Markov Decision Processes for Data-Driven Decision Support
Daniel J. Lizotte, Eric B. Laber
Multiple-Instance Learning from Distributions
Gary Doran, Soumya Ray
Multiple Output Regression with Latent Noise
Jussi Gillberg, Pekka Marttinen, Matti Pirinen et al.