Papers
Approximating the Permanent with Fractional Belief Propagation
Michael Chertkov, Adam B. Yedidia
Machine Learning with Operational Costs
Theja Tulabandhula, Cynthia Rudin
Alleviating Naive Bayes Attribute Independence Assumption by Attribute Weighting
Nayyar A. Zaidi, Jesús Cerquides, Mark J. Carman et al.
Generalized Spike-and-Slab Priors for Bayesian Group Feature Selection Using Expectation Propagation
Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Pierre Dupont
Cluster Analysis: Unsupervised Learning via Supervised Learning with a Non-convex Penalty
Wei Pan, Xiaotong Shen, Binghui Liu
Distributions of Angles in Random Packing on Spheres
Tony Cai, Jianqing Fan, Tiefeng Jiang
Random Walk Kernels and Learning Curves for Gaussian Process Regression on Random Graphs
Matthew J. Urry, Peter Sollich
On the Convergence of Maximum Variance Unfolding
Ery Arias-Castro, Bruno Pelletier
Similarity-based Clustering by Left-Stochastic Matrix Factorization
Raman Arora, Maya R. Gupta, Amol Kapila et al.
Nonparametric Sparsity and Regularization
Lorenzo Rosasco, Silvia Villa, Sofia Mosci et al.
Dynamic Affine-Invariant Shape-Appearance Handshape Features and Classification in Sign Language Videos
Anastasios Roussos, Stavros Theodorakis, Vassilis Pitsikalis et al.
Dimension Independent Similarity Computation
Reza Bosagh Zadeh, Ashish Goel
Sub-Local Constraint-Based Learning of Bayesian Networks Using A Joint Dependence Criterion
Rami Mahdi, Jason Mezey
Training Energy-Based Models for Time-Series Imputation
Philémon Brakel, Dirk Stroobandt, Benjamin Schrauwen
Improving CUR Matrix Decomposition and the Nystrom Approximation via Adaptive Sampling
Shusen Wang, Zhihua Zhang
A Risk Comparison of Ordinary Least Squares vs Ridge Regression
Paramveer S. Dhillon, Dean P. Foster, Sham M. Kakade et al.
Conjugate Relation between Loss Functions and Uncertainty Sets in Classification Problems
Takafumi Kanamori, Akiko Takeda, Taiji Suzuki
JKernelMachines: A Simple Framework for Kernel Machines
David Picard, Nicolas Thome, Matthieu Cord
Finding Optimal Bayesian Networks Using Precedence Constraints
Pekka Parviainen, Mikko Koivisto
Multicategory Large-Margin Unified Machines
Chong Zhang, Yufeng Liu
Stochastic Variational Inference
Matthew D. Hoffman, David M. Blei, Chong Wang et al.
Regularization-Free Principal Curve Estimation
Samuel Gerber, Ross Whitaker
Random Spanning Trees and the Prediction of Weighted Graphs
Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale et al.