Papers
8,340 papers found
Collective Stability in Structured Prediction: Generalization from One Example
Ben London, Bert Huang, Ben Taskar et al.
Combinatorial Multi-Armed Bandit: General Framework and Applications
Wei Chen, Yajun Wang, Yang Yuan
Computation-Risk Tradeoffs for Covariance-Thresholded Regression
Dinah Shender, John Lafferty
Concurrent Reinforcement Learning from Customer Interactions
David Silver, Leonard Newnham, David Barker et al.
Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation
Boqing Gong, Kristen Grauman, Fei Sha
Consistency of Online Random Forests
Misha Denil, David Matheson, Nando Freitas
Consistency versus Realizable H-Consistency for Multiclass Classification
Phil Long, Rocco Servedio
Constrained fractional set programs and their application in local clustering and community detection
Thomas Bühler, Shyam Sundar Rangapuram, Simon Setzer et al.
Convex Adversarial Collective Classification
MohamadAli Torkamani, Daniel Lowd
Convex formulations of radius-margin based Support Vector Machines
Huyen Do, Alexandros Kalousis
Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs
K. S. Sesh Kumar, Francis Bach
Copy or Coincidence? A Model for Detecting Social Influence and Duplication Events
Lisa Friedland, David Jensen, Michael Lavine
Cost-sensitive Multiclass Classification Risk Bounds
Bernardo Ávila Pires, Csaba Szepesvari, Mohammad Ghavamzadeh
Cost-Sensitive Tree of Classifiers
Zhixiang Xu, Matt Kusner, Kilian Weinberger et al.
Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels
Kai Zhang, Vincent Zheng, Qiaojun Wang et al.
Deep Canonical Correlation Analysis
Galen Andrew, Raman Arora, Jeff Bilmes et al.
Deep learning with COTS HPC systems
Adam Coates, Brody Huval, Tao Wang et al.
Dependent Normalized Random Measures
Changyou Chen, Vinayak Rao, Wray Buntine et al.
Differentially Private Learning with Kernels
Prateek Jain, Abhradeep Thakurta
Discriminatively Activated Sparselets
Ross Girshick, Hyun Oh Song, Trevor Darrell
Distributed training of Large-scale Logistic models
Siddharth Gopal, Yiming Yang
Distribution to Distribution Regression
Junier Oliva, Barnabas Poczos, Jeff Schneider
Domain Adaptation under Target and Conditional Shift
Kun Zhang, Bernhard Schölkopf, Krikamol Muandet et al.