Papers
4,122 papers found
Algorithms for Discovery of Multiple Markov Boundaries
Alexander Statnikov, Nikita I. Lytkin, Jan Lemeire et al.
Alleviating Naive Bayes Attribute Independence Assumption by Attribute Weighting
Nayyar A. Zaidi, Jesús Cerquides, Mark J. Carman et al.
A Max-Norm Constrained Minimization Approach to 1-Bit Matrix Completion
Tony Cai, Wen-Xin Zhou
A Near-Optimal Algorithm for Differentially-Private Principal Components
Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha
Approximating the Permanent with Fractional Belief Propagation
Michael Chertkov, Adam B. Yedidia
A Risk Comparison of Ordinary Least Squares vs Ridge Regression
Paramveer S. Dhillon, Dean P. Foster, Sham M. Kakade et al.
A Theory of Multiclass Boosting
Indraneel Mukherjee, Robert E. Schapire
A Widely Applicable Bayesian Information Criterion
Sumio Watanabe
Bayesian Canonical Correlation Analysis
Arto Klami, Seppo Virtanen, Samuel Kaski
Bayesian Nonparametric Hidden Semi-Markov Models
Matthew J. Johnson, Alan S. Willsky
Belief Propagation for Continuous State Spaces: Stochastic Message-Passing with Quantitative Guarantees
Nima Noorshams, Martin J. Wainwright
Beyond Fano's Inequality: Bounds on the Optimal F-Score, BER, and Cost-Sensitive Risk and Their Implications
Ming-Jie Zhao, Narayanan Edakunni, Adam Pocock et al.
BudgetedSVM: A Toolbox for Scalable SVM Approximations
Nemanja Djuric, Liang Lan, Slobodan Vucetic et al.
Classifier Selection using the Predicate Depth
Ran Gilad-Bachrach, Christopher J.C. Burges
Classifying With Confidence From Incomplete Information
Nathan Parrish, Hyrum S. Anderson, Maya R. Gupta et al.
Cluster Analysis: Unsupervised Learning via Supervised Learning with a Non-convex Penalty
Wei Pan, Xiaotong Shen, Binghui Liu
CODA: High Dimensional Copula Discriminant Analysis
Fang Han, Tuo Zhao, Han Liu
Communication-Efficient Algorithms for Statistical Optimization
Yuchen Zhang, John C. Duchi, Martin J. Wainwright
Conjugate Relation between Loss Functions and Uncertainty Sets in Classification Problems
Takafumi Kanamori, Akiko Takeda, Taiji Suzuki
Consistent Selection of Tuning Parameters via Variable Selection Stability
Wei Sun, Junhui Wang, Yixin Fang
Construction of Approximation Spaces for Reinforcement Learning
Wendelin Böhmer, Steffen Grünewälder, Yun Shen et al.
Convex and Scalable Weakly Labeled SVMs
Yu-Feng Li, Ivor W. Tsang, James T. Kwok et al.