Papers
4,025 papers found
A la Carte – Learning Fast Kernels
Zichao Yang, Andrew Wilson, Alex Smola et al.
A Scalable Algorithm for Structured Kernel Feature Selection
Shaogang Ren, Shuai Huang, John Onofrey et al.
A Simple Homotopy Algorithm for Compressive Sensing
Lijun Zhang, Tianbao Yang, Rong Jin et al.
A Spectral Algorithm for Inference in Hidden semi-Markov Models
Igor Melnyk, Arindam Banerjee
A Topic Modeling Approach to Ranking
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
A totally unimodular view of structured sparsity
Marwa El Halabi, Volkan Cevher
Averaged Least-Mean-Squares: Bias-Variance Trade-offs and Optimal Sampling Distributions
Alexandre Defossez, Francis Bach
Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades
Mehrdad Farajtabar, Manuel Gomez Rodriguez, Mohammad Zamani et al.
Calibration of conditional composite likelihood for Bayesian inference on Gibbs random fields
Julien Stoehr, Nial Friel
Column Subset Selection with Missing Data via Active Sampling
Yining Wang, Aarti Singh
Compressed Sensing with Very Sparse Gaussian Random Projections
Ping Li, Cun-Hui Zhang
Computational Complexity of Linear Large Margin Classification With Ramp Loss
Søren Frejstrup Maibing, Christian Igel
Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels
Xin Li, Feipeng Zhao, Yuhong Guo
Consensus Message Passing for Layered Graphical Models
Varun Jampani, S. M. Ali Eslami, Daniel Tarlow et al.
Consistent Collective Matrix Completion under Joint Low Rank Structure
Suriya Gunasekar, Makoto Yamada, Dawei Yin et al.
Convex Multi-Task Learning by Clustering
Aviad Barzilai, Koby Crammer
Cross-domain recommendation without shared users or items by sharing latent vector distributions
Tomoharu Iwata, Takeuchi Koh
DART: Dropouts meet Multiple Additive Regression Trees
Rashmi Korlakai Vinayak, Ran Gilad-Bachrach
Data modeling with the elliptical gamma distribution
Suvrit Sra, Reshad Hosseini, Lucas Theis et al.
Deep Exponential Families
Rajesh Ranganath, Linpeng Tang, Laurent Charlin et al.
Deeply-Supervised Nets
Chen-Yu Lee, Saining Xie, Patrick Gallagher et al.
Dimensionality estimation without distances
Matthäus Kleindessner, Ulrike Luxburg