Papers
Stochastic Three-Composite Convex Minimization with a Linear Operator
Renbo Zhao, Volkan Cevher
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 Variational Inference With Gradient Linearization
Tobias Plötz, Anne S. Wannenwetsch, Stefan Roth
Stochastic Variational Video Prediction
Mohammad Babaeizadeh, Chelsea Finn, Dumitru Erhan et al.
Stochastic Video Generation with a Learned Prior
Emily Denton, Rob Fergus
Stochastic Wasserstein Barycenters
Sebastian Claici, Edward Chien, Justin Solomon
Stochastic Zeroth-order Optimization in High Dimensions
Yining Wang, Simon Du, Sivaraman Balakrishnan et al.
Stock Movement Prediction from Tweets and Historical Prices
Yumo Xu, Shay B. Cohen
Stock Price Prediction Using Attention-based Multi-Input LSTM
Hao Li, Yanyan Shen, Yanmin Zhu
Stop Word Lists in Free Open-source Software Packages
Joel Nothman, Hanmin Qin, Roman Yurchak
Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering
Medhini Narasimhan, Alexander G. Schwing
Straight to the Tree: Constituency Parsing with Neural Syntactic Distance
Yikang Shen, Zhouhan Lin, Athul Paul Jacob et al.
StrassenNets: Deep Learning with a Multiplication Budget
Michael Tschannen, Aran Khanna, Animashree Anandkumar
Strategyproof and Fair Matching Mechanism for Union of Symmetric M-convex Constraints
Yuzhe Zhang, Kentaro Yahiro, Nathanaël Barrot et al.
Stratification for Constraint-Based Multi-Objective Combinatorial Optimization
Miguel Terra-Neves, Inês Lynce, Vasco Manquinho
Stratified Negation in Limit Datalog Programs
Mark Kaminski, Bernardo Cuenca Grau, Egor V. Kostylev et al.
Stream Attention for Distributed Multi-Microphone Speech Recognition
Xiaofei Wang, Ruizhi Li, Hynek Hermansky
Streaming Kernel PCA with $\tilde{O}(\sqrt{n})$ Random Features
Enayat Ullah, Poorya Mianjy, Teodor Vanislavov Marinov et al.
Streaming kernel regression with provably adaptive mean, variance, and regularization
Audrey Durand, Odalric-Ambrym Maillard, Joelle Pineau
Streaming Principal Component Analysis in Noisy Setting
Teodor Vanislavov Marinov, Poorya Mianjy, Raman Arora
Streaming word similarity mining on the cheap
Olof Görnerup, Daniel Gillblad
Streamlining Variational Inference for Constraint Satisfaction Problems
Aditya Grover, Tudor Achim, Stefano Ermon