Papers
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition
Pavel Izmailov, Alexander Novikov, Dmitry Kropotov
Scalable Generalized Dynamic Topic Models
Patrick Jähnichen, Florian Wenzel, Marius Kloft et al.
Scalable Hash-Based Estimation of Divergence Measures
Morteza Noshad, Alfred Hero
Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes
Hyunjik Kim, Yee Whye Teh
SDCA-Powered Inexact Dual Augmented Lagrangian Method for Fast CRF Learning
Xu Hu, Guillaume Obozinski
Semi-Supervised Learning with Competitive Infection Models
Nir Rosenfeld, Amir Globerson
Semi-Supervised Prediction-Constrained Topic Models
Michael Hughes, Gabriel Hope, Leah Weiner et al.
Sketching for Kronecker Product Regression and P-splines
Huaian Diao, Zhao Song, Wen Sun et al.
Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD
Sanghamitra Dutta, Gauri Joshi, Soumyadip Ghosh et al.
Smooth and Sparse Optimal Transport
Mathieu Blondel, Vivien Seguy, Antoine Rolet
Solving lp-norm regularization with tensor kernels
Saverio Salzo, Lorenzo Rosasco, Johan Suykens
Sparse Linear Isotonic Models
Sheng Chen, Arindam Banerjee
Spectral Algorithms for Computing Fair Support Vector Machines
Mahbod Olfat, Anil Aswani
Statistically Efficient Estimation for Non-Smooth Probability Densities
Masaaki Imaizumi, Takanori Maehara, Yuichi Yoshida
Statistical Sparse Online Regression: A Diffusion Approximation Perspective
Jianqing Fan, Wenyan Gong, Chris Junchi Li et al.
Stochastic algorithms for entropy-regularized optimal transport problems
Brahim Khalil Abid, Robert Gower
Stochastic Multi-armed Bandits in Constant Space
David Liau, Zhao Song, Eric Price et al.
Stochastic Three-Composite Convex Minimization with a Linear Operator
Renbo Zhao, Volkan Cevher
Stochastic Zeroth-order Optimization in High Dimensions
Yining Wang, Simon Du, Sivaraman Balakrishnan et al.
Structured Factored Inference for Probabilistic Programming
Avi Pfeffer, Brian Ruttenberg, William Kretschmer et al.
Structured Optimal Transport
David Alvarez-Melis, Tommi Jaakkola, Stefanie Jegelka
Submodularity on Hypergraphs: From Sets to Sequences
Marko Mitrovic, Moran Feldman, Andreas Krause et al.
Subsampling for Ridge Regression via Regularized Volume Sampling
Michal Derezinski, Manfred Warmuth
Sum-Product-Quotient Networks
Or Sharir, Amnon Shashua
Symmetric Variational Autoencoder and Connections to Adversarial Learning
Liqun Chen, Shuyang Dai, Yunchen Pu et al.