Papers
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
Stochastic Gradient Descent with Only One Projection
Mehrdad Mahdavi, Tianbao Yang, Rong Jin et al.
Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions
Alekh Agarwal, Sahand Negahban, Martin J. Wainwright
Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making
Pradeep Shenoy, Angela J. Yu
Structured Learning of Gaussian Graphical Models
Karthik Mohan, Mike Chung, Seungyeop Han et al.
Structured Output Learning with High Order Loss Functions
Daniel Tarlow, Richard Zemel
Structured Sparse Canonical Correlation Analysis
Xi Chen, Liu Han, Jaime Carbonell
Structured Sparsity and Generalization
Andreas Maurer, Massimiliano Pontil
Structured Sparsity via Alternating Direction Methods
Zhiwei Qin, Donald Goldfarb
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses
Po-ling Loh, Martin J. Wainwright
Submodular-Bregman and the Lovász-Bregman Divergences with Applications
Rishabh Iyer, Jeff A. Bilmes
Subset Infinite Relational Models
Katsuhiko Ishiguro, Naonori Ueda, Hiroshi Sawada
Super-Bit Locality-Sensitive Hashing
Jianqiu Ji, Jianmin Li, Shuicheng Yan et al.
Supervised Dimension Reduction with Topic Models
Khoat Than, Tu Bao Ho, Duy Khuong Nguyen et al.
Supervised Learning with Similarity Functions
Purushottam Kar, Prateek Jain
SVDFeature: A Toolkit for Feature-based Collaborative Filtering
Tianqi Chen, Weinan Zhang, Qiuxia Lu et al.
Symbolic Dynamic Programming for Continuous State and Observation POMDPs
Zahra Zamani, Scott Sanner, Pascal Poupart et al.