Papers
173,579 papers found
Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models
Ke Jiang, Brian Kulis, Michael I. Jordan
Smoothing Multivariate Performance Measures
Xinhua Zhang, Ankan Saha, S.V.N. Vishwanathan
Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation
Tuo Zhao, Kathryn Roeder, Han Liu
Sparse Additive Machine
Tuo Zhao, Han Liu
Sparse Additive Matrix Factorization for Robust PCA and Its Generalization
Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan
Sparse Approximate Manifolds for Differential Geometric MCMC
Ben Calderhead, Mátyás A. Sustik
Sparse Higher-Order Principal Components Analysis
Genevera Allen
Sparse Prediction with the $k$-Support Norm
Andreas Argyriou, Rina Foygel, Nathan Srebro
Sparsistency of the Edge Lasso over Graphs
James Sharpnack, Aarti Singh, Alessandro Rinaldo
Spatial Locality-Aware Sparse Coding and Dictionary Learning
Jiang Wang, Junsong Yuan, Zhouyuan Chen et al.
Spectral Clustering of Graphs with General Degrees in the Extended Planted Partition Model
Kamalika Chaudhuri, Fan Chung, Alexander Tsiatas
Spectral Learning of General Weighted Automata via Constrained Matrix Completion
Borja Balle, Mehryar Mohri
Spectral learning of linear dynamics from generalised-linear observations with application to neural population data
Lars Buesing, Jakob H. Macke, Maneesh Sahani
SpeedBoost: Anytime Prediction with Uniform Near-Optimality
Alex Grubb, Drew Bagnell
Spiking and saturating dendrites differentially expand single neuron computation capacity
Romain Cazé, Mark Humphries, Boris S. Gutkin
Stability of Density-Based Clustering
Alessandro Rinaldo, Aarti Singh, Rebecca Nugent et al.
State Estimation for Legged Robots - Consistent Fusion of Leg Kinematics and IMU
Michael Bloesch, Marco Hutter, Mark Hoepflinger et al.
Static Prediction Games for Adversarial Learning Problems
Michael Brückner, Christian Kanzow, Tobias Scheffer
Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space
Yanyan Lan, Jiafeng Guo, Xueqi Cheng et al.
Statistical Models for Exploring Individual Email Communication Behavior
Nicholas Navaroli, Christopher DuBois, Padhraic Smyth
Statistical Optimization in High Dimensions
Huan Xu, Constantine Caramanis, Shie Mannor
Statistical test for consistent estimation of causal effects in linear non-Gaussian models
Doris Entner, Patrik Hoyer, Peter Spirtes
Stick-Breaking Beta Processes and the Poisson Process
John Paisley, David Blei, Michael Jordan
Stochastic Bandit Based on Empirical Moments
Junya Honda, Akimichi Takemura