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As machine learning transitions increasingly towards real world applications controlling the test-time cost of algorithms becomes more and more crucial.
Semiboost: Boosting for semi-supervised learning
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Classification and regression trees
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Asymptotic methods in statistical decision theory
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Spectral graph theory
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Greedy function approximation: a gradient boosting machine
J.H. Friedman · 2001
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Learning from labeled and unlabeled data with label propagation
Xiaojin Zhu and Zoubin Ghahramani · 2002
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Predicting hepatitis b virus–positive metastatic hepatocellular carcinomas using gene expression profiling and supervised machine learning
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Robust real-time face detection
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Semi-supervised learning literature survey
Xiaojin Zhu · 2006
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Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
Mikhail Belkin, Partha Niyogi, and Vikas Sindhwani · 2006
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Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
S. Lazebnik, C. Schmid, and J. Ponce · 2006
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Efficient l1 regularized logistic regression
S. Lee, H. Lee, P. Abbeel, and A. Y. Ng · 2006
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Regularized boost for semi-supervised learning
K. Chen and S. Wang · 2007
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A general boosting method and its application to learning ranking functions for web search
Z. Zheng, H. Zha, T. Zhang, O. Chapelle, K. Chen, and G. Sun · 2008
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Serboost: Semi-supervised boosting with expectation regularization
Amir Saffari, Helmut Grabner, and Horst Bischof · 2008
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Semi-supervised on-line boosting for robust tracking
Helmut Grabner, Christian Leistner, and Horst Bischof · 2008
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Early exit optimizations for additive machine learned ranking systems
B Barla Cambazoglu, Hugo Zaragoza, Olivier Chapelle, Jiang Chen, Ciya Liao, Zhaohui Zheng, and Jon Degenhardt · 2010
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Object bank: A high-level image representation for scene classification and semantic feature sparsification
L.J. Li, H. Su, E.P. Xing, and L. Fei-Fei · 2010
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Discriminative semi-supervised feature selection via manifold regularization
Zenglin Xu, Irwin King, MR-T Lyu, and Rong Jin · 2010
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Active classification based on value of classifier
T. Gao and D. Koller · 2011
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Yahoo! learning to rank challenge overview
O. Chapelle and Y. Chang · 2011
A second order virtual node method for elliptic problems with interfaces and irregular domains in three dimensions
Jeffrey Lee Hellrung Jr, Luming Wang, Eftychios Sifakis, and Joseph M Teran · 2012
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Manifold-regularized minimax probability machine
Kazuki Yoshiyama and Akito Sakurai · 2012
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Practical bayesian optimization of machine learning algorithms
J. Snoek, H. Larochelle, and R. P. Adams · 2012
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Classifier cascade for minimizing feature evaluation cost
M. Chen, Z. Xu, K. Q. Weinberger, and O. Chapelle · 2012
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Counterfactual reasoning and learning systems: the example of computational advertising
L. Bottou, J. Peters, J. Quiñonero-Candela, D.X. Charles, D.M. Chickering, E. Portugaly, D. Ray, P. Simard, and D. Snelson · 2013
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Multi-stage classifier design
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Boosted multi-task learning
O. Chapelle, P. Shivaswamy, S. Vadrevu, K. Weinberger, Y. Zhang, and B. Tseng · 2011
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Boosting on a budget: Sampling for feature-efficient prediction
L. Reyzin · 2011
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Fast classification using sparse decision dags
R. Busa-Fekete, D. Benbouzid, B. Kégl, et al · 2012
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Cost-sensitive dynamic feature selection
H. He, H. Daumé III, and J. Eisner · 2012
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Speedboost: Anytime prediction with uniform near-optimality
A. Grubb and J. A. Bagnell · 2012
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Timely object recognition
S. Karayev, T. Baumgartner, M. Fritz, and T. Darrell · 2012
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Kirill Trapeznikov, Venkatesh Saligrama, and David Castañón · 2013
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Anytime representation learning
Z. Xu, M.J. Kusner, G. Huang, and K.Q. Weinberger · 2013
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A discontinuous galerkin method for the navier-stokes equations on deforming domains using unstructured moving space-time meshes
Luming Wang and Per-Olof Persson · 2013
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Cost-sensitive tree of classifiers
Z. Xu, M. J. Kusner, K. Q. Weinberger, and M. Chen · 2013
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An lp for sequential learning under budgets
Joseph Wang, Kirill Trapeznikov, and Venkatesh Saligrama · 2014
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Anytime recognition of objects and scenes
S. Karayev, M. Fritz, and T. Darrell · 2014
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A high-order discontinuous galerkin method with unstructured space–time meshes for two-dimensional compressible flows on domains with large deformations
Luming Wang and Per-Olof Persson · 2015
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Discontinuous Galerkin Methods on Moving Domains with Large Deformations
Luming Wang · 2015
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Implicit large-eddy simulation of 2d counter-rotating vertical-axis wind turbines
Sam Kanner, Luming Wang, and Per-Olof Persson · 2016
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