Papers
176,624 papers found
Spatial Formation Model for Initiating Conversation
Chao Shi, Michihiro Shimada, Takayuki Kanda et al.
Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities
Richard Socher, Andrew Maas, Christopher Manning
Spectral Clustering on a Budget
Ohad Shamir, Naftali Tishby
Spectral Dimensionality Reduction via Maximum Entropy
Neil Lawrence
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 Optimization of Non-Negative Matrix Factorization
Anoop Korattikara Balan, Levi Boyles, Max Welling et al.
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.
Stochastic Methods for -regularized Loss Minimization
Shai Shalev-Shwartz, Ambuj Tewari
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
Structured Variable Selection with Sparsity-Inducing Norms
Rodolphe Jenatton, Jean-Yves Audibert, Francis Bach
Structure Learning for Optimization
Shulin Yang, Ali Rahimi
Submodular Multi-Label Learning
James Petterson, Tibério S. Caetano
Summarization of Yes/No Questions Using a Feature Function Model
Jing He, Decheng Dai
Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation
Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama
Support Vector Machines Under Adversarial Label Noise
Battista Biggio, Blaine Nelson, Pavel Laskov
Switch-Reset Models : Exact and Approximate Inference
Chris Bracegirdle, David Barber
Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification
Ichiro Takeuchi, Masashi Sugiyama
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning
George Konidaris, Scott Niekum, Philip S. Thomas
t-divergence Based Approximate Inference
Nan Ding, Yuan Qi, S.v.n. Vishwanathan