Papers
Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization
Jiong Zhang, Qi Lei, Inderjit Dhillon
Stagewise Safe Bayesian Optimization with Gaussian Processes
Yanan Sui, Vincent Zhuang, Joel Burdick et al.
State Abstractions for Lifelong Reinforcement Learning
David Abel, Dilip Arumugam, Lucas Lehnert et al.
State Space Gaussian Processes with Non-Gaussian Likelihood
Hannes Nickisch, Arno Solin, Alexander Grigorevskiy
Stein Points
Wilson Ye Chen, Lester Mackey, Jackson Gorham et al.
Stein Variational Gradient Descent Without Gradient
Jun Han, Qiang Liu
Stein Variational Message Passing for Continuous Graphical Models
Dilin Wang, Zhe Zeng, Qiang Liu
Stochastic PCA with $\ell_2$ and $\ell_1$ Regularization
Poorya Mianjy, Raman Arora
Stochastic Proximal Algorithms for AUC Maximization
Michael Natole, Yiming Ying, Siwei Lyu
Stochastic Training of Graph Convolutional Networks with Variance Reduction
Jianfei Chen, Jun Zhu, Le Song
Stochastic Variance-Reduced Cubic Regularized Newton Methods
Dongruo Zhou, Pan Xu, Quanquan Gu
Stochastic Variance-Reduced Hamilton Monte Carlo Methods
Difan Zou, Pan Xu, Quanquan Gu
Stochastic Variance-Reduced Policy Gradient
Matteo Papini, Damiano Binaghi, Giuseppe Canonaco et al.
Stochastic Video Generation with a Learned Prior
Emily Denton, Rob Fergus
Stochastic Wasserstein Barycenters
Sebastian Claici, Edward Chien, Justin Solomon
StrassenNets: Deep Learning with a Multiplication Budget
Michael Tschannen, Aran Khanna, Animashree Anandkumar
Streaming Principal Component Analysis in Noisy Setting
Teodor Vanislavov Marinov, Poorya Mianjy, Raman Arora
Stronger Generalization Bounds for Deep Nets via a Compression Approach
Sanjeev Arora, Rong Ge, Behnam Neyshabur et al.
Structured Control Nets for Deep Reinforcement Learning
Mario Srouji, Jian Zhang, Ruslan Salakhutdinov
Structured Evolution with Compact Architectures for Scalable Policy Optimization
Krzysztof Choromanski, Mark Rowland, Vikas Sindhwani et al.
Structured Output Learning with Abstention: Application to Accurate Opinion Prediction
Alexandre Garcia, Chloé Clavel, Slim Essid et al.
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors
Soumya Ghosh, Jiayu Yao, Finale Doshi-Velez
Structured Variationally Auto-encoded Optimization
Xiaoyu Lu, Javier Gonzalez, Zhenwen Dai et al.
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
Yuxuan Wang, Daisy Stanton, Yu Zhang et al.
Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering
Pan Li, Olgica Milenkovic