Papers
Stochastic Convex Optimization: Faster Local Growth Implies Faster Global Convergence
Yi Xu, Qihang Lin, Tianbao Yang
Stochastic DCA for the Large-sum of Non-convex Functions Problem and its Application to Group Variable Selection in Classification
Hoai An Le Thi, Hoai Minh Le, Duy Nhat Phan et al.
Stochastic Difference of Convex Algorithm and its Application to Training Deep Boltzmann Machines
Atsushi Nitanda, Taiji Suzuki
Stochastic Generative Hashing
Bo Dai, Ruiqi Guo, Sanjiv Kumar et al.
Stochastic Gradient Descent as Approximate Bayesian Inference
Stephan Mandt, Matthew D. Hoffman, David M. Blei
Stochastic Gradient MCMC Methods for Hidden Markov Models
Yi-An Ma, Nicholas J. Foti, Emily B. Fox
Stochastic Gradient Monomial Gamma Sampler
Yizhe Zhang, Changyou Chen, Zhe Gan et al.
Stochastic Mirror Descent in Variationally Coherent Optimization Problems
Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos et al.
Stochastic Modified Equations and Adaptive Stochastic Gradient Algorithms
Qianxiao Li, Cheng Tai, Weinan E
Stochastic Online Anomaly Analysis for Streaming Time Series
Zhao Xu, Kristian Kersting, Lorenzo von Ritter
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure
Alberto Bietti, Julien Mairal
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization
Yuchen Zhang, Lin Xiao
Stochastic Rank-1 Bandits
Sumeet Katariya, Branislav Kveton, Csaba Szepesvari et al.
Stochastic Recurrent Neural Network for Speech Recognition
Jen-Tzung Chien, Chen Shen
Stochastic Submodular Maximization: The Case of Coverage Functions
Mohammad Karimi, Mario Lucic, Hamed Hassani et al.
Stochastic Variance Reduction Methods for Policy Evaluation
Simon S. Du, Jianshu Chen, Lihong Li et al.
Storage Fit Learning with Unlabeled Data
Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou
STORE: Sparse Tensor Response Regression and Neuroimaging Analysis
Will Wei Sun, Lexin Li
Story Comprehension for Predicting What Happens Next
Snigdha Chaturvedi, Haoruo Peng, Dan Roth
Straggler Mitigation in Distributed Optimization Through Data Encoding
Can Karakus, Yifan Sun, Suhas Diggavi et al.
Straight to Shapes: Real-Time Detection of Encoded Shapes
Saumya Jetley, Michael Sapienza, Stuart Golodetz et al.
Strategically knowing how
Raul Fervari, Andreas Herzig, Yanjun Li et al.
Streaming Multi-Context Systems
Minh Dao-Tran, Thomas Eiter
Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach
Slobodan Mitrovic, Ilija Bogunovic, Ashkan Norouzi-Fard et al.