Papers
554 papers found
Stability and Generalization
Olivier Bousquet, André Elisseeff
Matching Words and Pictures
Kobus Barnard, Pinar Duygulu, David Forsyth et al.
Smooth Boosting and Learning with Malicious Noise
Rocco A. Servedio
Path Kernels and Multiplicative Updates
Eiji Takimoto, Manfred K. Warmuth
Algorithmic Stability and Meta-Learning
Andreas Maurer
The Interplay of Optimization and Machine Learning Research
Kristin P. Bennett, Emilio Parrado-Hernández
Consistency and Localizability
Alon Zakai, Ya'acov Ritov
Model Monitor (M2): Evaluating, Comparing, and Monitoring Models
Troy Raeder, Nitesh V. Chawla
Maximum Relative Margin and Data-Dependent Regularization
Pannagadatta K. Shivaswamy, Tony Jebara
MOA: Massive Online Analysis
Albert Bifet, Geoff Holmes, Richard Kirkby et al.
Fast and Scalable Local Kernel Machines
Nicola Segata, Enrico Blanzieri
Models of Cooperative Teaching and Learning
Sandra Zilles, Steffen Lange, Robert Holte et al.
A Comparison of the Lasso and Marginal Regression
Christopher R. Genovese, Jiashun Jin, Larry Wasserman et al.
Convex and Scalable Weakly Labeled SVMs
Yu-Feng Li, Ivor W. Tsang, James T. Kwok et al.
Large-scale SVD and Manifold Learning
Ameet Talwalkar, Sanjiv Kumar, Mehryar Mohri et al.
Distributed Matrix Completion and Robust Factorization
Lester Mackey, Ameet Talwalkar, Michael I. Jordan
String and Membrane Gaussian Processes
Yves-Laurent Kom Samo, Stephen J. Roberts
Matrix Completion with Noisy Entries and Outliers
Raymond K. W. Wong, Thomas C. M. Lee
Normal Bandits of Unknown Means and Variances
Wesley Cowan, Junya Honda, Michael N. Katehakis
Statistical Analysis and Parameter Selection for Mapper
Mathieu Carrière, Bertrand Michel, Steve Oudot
Markov Blanket and Markov Boundary of Multiple Variables
Xu-Qing Liu, Xin-Sheng Liu
Minimal Sample Subspace Learning: Theory and Algorithms
Zhenyue Zhang, Yuqing Xia
Divide-and-Conquer Fusion
Ryan S.Y. Chan, Murray Pollock, Adam M. Johansen et al.
Deletion and Insertion Tests in Regression Models
Naofumi Hama, Masayoshi Mase, Art B. Owen
Dimension Reduction and MARS
Yu Liu LIU, Degui Li, Yingcun Xia