Papers
Stateless Network Functions: Breaking the Tight Coupling of State and Processing
Murad Kablan, Azzam Alsudais, Eric Keller et al.
Statistical and Computational Guarantees for the Baum-Welch Algorithm
Fanny Yang, Sivaraman Balakrishnan, Martin J. Wainwright
Statistical Cost Sharing
Eric Balkanski, Umar Syed, Sergei Vassilvitskii
Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening
Mohsen Ahmadi Fahandar, Eyke Hüllermeier, Inés Couso
Statistical Inference with Unnormalized Discrete Models and Localized Homogeneous Divergences
Takashi Takenouchi, Takafumi Kanamori
Statistical Voice Conversion with WaveNet-Based Waveform Generation
Kazuhiro Kobayashi, Tomoki Hayashi, Akira Tamamori et al.
Staying Ahead of the Game: Adaptive Robust Optimization for Dynamic Allocation of Threat Screening Resources
Sara Marie Mc Carthy, Phebe Vayanos, Milind Tambe
STCP: Simplified-Traditional Chinese Conversion and Proofreading
Jiarui Xu, Xuezhe Ma, Chen-Tse Tsai et al.
STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling
Yang He, Wei-Chen Chiu, Margret Keuper et al.
Steering Output Style and Topic in Neural Response Generation
Di Wang, Nebojsa Jojic, Chris Brockett et al.
Stepsize Control for Acoustic Feedback Cancellation Based on the Detection of Reverberant Signal Periods and the Estimated System Distance
Philipp Bulling, Klaus Linhard, Arthur Wolf et al.
Stepwise Metric Promotion for Unsupervised Video Person Re-Identification
Zimo Liu, Dong Wang, Huchuan Lu
Stereo-Based 3D Reconstruction of Dynamic Fluid Surfaces by Global Optimization
Yiming Qian, Minglun Gong, Yee-Hong Yang
Stereo DSO: Large-Scale Direct Sparse Visual Odometry With Stereo Cameras
Rui Wang, Martin Schworer, Daniel Cremers
ST-GAN: Unsupervised Facial Image Semantic Transformation Using Generative Adversarial Networks
Jichao Zhang, Fan Zhong, Gongze Cao et al.
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference
Geoffrey Roeder, Yuhuai Wu, David K. Duvenaud
StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent
Tyler B. Johnson, Carlos Guestrin
Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values
Chaoxu Zhou, Wenbo Gao, Donald Goldfarb
Stochastic and Adversarial Online Learning without Hyperparameters
Ashok Cutkosky, Kwabena A. Boahen
Stochastic Approximation for Canonical Correlation Analysis
Raman Arora, Teodor Vanislavov Marinov, Poorya Mianjy et al.
Stochastic Bouncy Particle Sampler
Ari Pakman, Dar Gilboa, David Carlson et al.
Stochastic Composite Least-Squares Regression with Convergence Rate $O(1/n)$
Nicolas Flammarion, Francis Bach
Stochastic Constraint Programming
David Hemmi
Stochastic Constraint Programming with And-Or Branch-and-Bound
Behrouz Babaki, Tias Guns, Luc de Raedt