Papers
21,849 papers found
Similarity-based Learning via Data Driven Embeddings
Purushottam Kar, Prateek Jain
Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC
Trung T. Pham, Tat-jun Chin, Jin Yu et al.
Solving Decision Problems with Limited Information
Denis D. Maua, Cassio Campos
SpaRCS: Recovering low-rank and sparse matrices from compressive measurements
Andrew E. Waters, Aswin C. Sankaranarayanan, Richard Baraniuk
Sparse Bayesian Multi-Task Learning
Shengbo Guo, Onno Zoeter, Cédric Archambeau
Sparse Estimation with Structured Dictionaries
David P. Wipf
Sparse Features for PCA-Like Linear Regression
Christos Boutsidis, Petros Drineas, Malik Magdon-Ismail
Sparse Filtering
Jiquan Ngiam, Zhenghao Chen, Sonia A. Bhaskar et al.
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation
Cho-jui Hsieh, Inderjit S. Dhillon, Pradeep K. Ravikumar et al.
Sparse Manifold Clustering and Embedding
Ehsan Elhamifar, René Vidal
Sparse recovery by thresholded non-negative least squares
Martin Slawski, Matthias Hein
Sparse Recovery with Brownian Sensing
Alexandra Carpentier, Odalric-ambrym Maillard, Rémi Munos
Spatial distance dependent Chinese restaurant processes for image segmentation
Soumya Ghosh, Andrei B. Ungureanu, Erik B. Sudderth et al.
Spectral Methods for Learning Multivariate Latent Tree Structure
Animashree Anandkumar, Kamalika Chaudhuri, Daniel J. Hsu et al.
Speedy Q-Learning
Mohammad Ghavamzadeh, Hilbert J. Kappen, Mohammad G. Azar et al.
Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning
Michalis K. Titsias, Miguel Lázaro-Gredilla
Statistical Performance of Convex Tensor Decomposition
Ryota Tomioka, Taiji Suzuki, Kohei Hayashi et al.
Statistical Tests for Optimization Efficiency
Levi Boyles, Anoop Korattikara, Deva Ramanan et al.
Stochastic convex optimization with bandit feedback
Alekh Agarwal, Dean P. Foster, Daniel J. Hsu et al.
Structural equations and divisive normalization for energy-dependent component analysis
Jun-ichiro Hirayama, Aapo Hyvärinen
Structured Learning for Cell Tracking
Xinghua Lou, Fred A. Hamprecht
Structured sparse coding via lateral inhibition
Arthur D. Szlam, Karol Gregor, Yann L. Cun
Structure Learning for Optimization
Shulin Yang, Ali Rahimi
Submodular Multi-Label Learning
James Petterson, Tibério S. Caetano
Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification
Ichiro Takeuchi, Masashi Sugiyama