Papers
5,893 papers found
Convex Tensor Decomposition via Structured Schatten Norm Regularization
Ryota Tomioka, Taiji Suzuki
Tracking Time-varying Graphical Structure
Erich Kummerfeld, David Danks
Unsupervised Structure Learning of Stochastic And-Or Grammars
Kewei Tu, Maria Pavlovskaia, Song-Chun Zhu
When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity
Anima Anandkumar, Daniel J. Hsu, Majid Janzamin et al.
Causal Inference on Time Series using Restricted Structural Equation Models
Jonas Peters, Dominik Janzing, Bernhard Schölkopf
It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals
Barbara Rakitsch, Christoph Lippert, Karsten Borgwardt et al.
Dimension-Free Exponentiated Gradient
Francesco Orabona
Pass-efficient unsupervised feature selection
Crystal Maung, Haim Schweitzer
Analyzing the Harmonic Structure in Graph-Based Learning
Xiao-Ming Wu, Zhenguo Li, Shih-Fu Chang
A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables
Jing Xiang, Seyoung Kim
Generalizing Analytic Shrinkage for Arbitrary Covariance Structures
Daniel Bartz, Klaus-Robert Müller
Polar Operators for Structured Sparse Estimation
Xinhua Zhang, Yao-Liang Yu, Dale Schuurmans
Sketching Structured Matrices for Faster Nonlinear Regression
Haim Avron, Vikas Sindhwani, David Woodruff
Variance Reduction for Stochastic Gradient Optimization
Chong Wang, Xi Chen, Alexander J Smola et al.
Optimizing Instructional Policies
Robert Lindsey, Michael Mozer, William J Huggins et al.
Latent Structured Active Learning
Wenjie Luo, Alex Schwing, Raquel Urtasun
Relevance Topic Model for Unstructured Social Group Activity Recognition
Fang Zhao, Yongzhen Huang, Liang Wang et al.
Structured Learning via Logistic Regression
Justin Domke
k-Prototype Learning for 3D Rigid Structures
Hu Ding, Ronald Berezney, Jinhui Xu
Learning Adaptive Value of Information for Structured Prediction
David J Weiss, Ben Taskar
Extracting Latent Structure From Multiple Interacting Neural Populations
Joao Semedo, Amin Zandvakili, Adam Kohn et al.
Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks
Mario Marchand, Hongyu Su, Emilie Morvant et al.
Dimensionality Reduction with Subspace Structure Preservation
Devansh Arpit, Ifeoma Nwogu, Venu Govindaraju
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
Emily L Denton, Wojciech Zaremba, Joan Bruna et al.
Efficient Structured Matrix Rank Minimization
Adams Wei Yu, Wanli Ma, Yaoliang Yu et al.