Papers
Self-Bounded Prediction Suffix Tree via Approximate String Matching
Dongwoo Kim, Christian Walder
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
John Co-Reyes, YuXuan Liu, Abhishek Gupta et al.
Self-Imitation Learning
Junhyuk Oh, Yijie Guo, Satinder Singh et al.
Semi-Amortized Variational Autoencoders
Yoon Kim, Sam Wiseman, Andrew Miller et al.
Semi-Implicit Variational Inference
Mingzhang Yin, Mingyuan Zhou
Semiparametric Contextual Bandits
Akshay Krishnamurthy, Zhiwei Steven Wu, Vasilis Syrgkanis
Semi-Supervised Learning on Data Streams via Temporal Label Propagation
Tal Wagner, Sudipto Guha, Shiva Kasiviswanathan et al.
Semi-Supervised Learning via Compact Latent Space Clustering
Konstantinos Kamnitsas, Daniel Castro, Loic Le Folgoc et al.
SGD and Hogwild! Convergence Without the Bounded Gradients Assumption
Lam Nguyen, PHUONG HA NGUYEN, Marten Dijk et al.
Shampoo: Preconditioned Stochastic Tensor Optimization
Vineet Gupta, Tomer Koren, Yoram Singer
Signal and Noise Statistics Oblivious Orthogonal Matching Pursuit
Sreejith Kallummil, Sheetal Kalyani
signSGD: Compressed Optimisation for Non-Convex Problems
Jeremy Bernstein, Yu-Xiang Wang, Kamyar Azizzadenesheli et al.
SMAC: Simultaneous Mapping and Clustering Using Spectral Decompositions
Chandrajit Bajaj, Tingran Gao, Zihang He et al.
Smoothed Action Value Functions for Learning Gaussian Policies
Ofir Nachum, Mohammad Norouzi, George Tucker et al.
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel et al.
Solving Partial Assignment Problems using Random Clique Complexes
Charu Sharma, Deepak Nathani, Manohar Kaul
Sound Abstraction and Decomposition of Probabilistic Programs
Steven Holtzen, Guy Broeck, Todd Millstein
SparseMAP: Differentiable Sparse Structured Inference
Vlad Niculae, Andre Martins, Mathieu Blondel et al.
Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection
Jeremias Knoblauch, Theodoros Damoulas
Spectrally Approximating Large Graphs with Smaller Graphs
Andreas Loukas, Pierre Vandergheynst
Spline Filters For End-to-End Deep Learning
Randall Balestriero, Romain Cosentino, Herve Glotin et al.
Spotlight: Optimizing Device Placement for Training Deep Neural Networks
Yuanxiang Gao, Li Chen, Baochun Li
Spurious Local Minima are Common in Two-Layer ReLU Neural Networks
Itay Safran, Ohad Shamir
SQL-Rank: A Listwise Approach to Collaborative Ranking
Liwei Wu, Cho-Jui Hsieh, James Sharpnack
Stability and Generalization of Learning Algorithms that Converge to Global Optima
Zachary Charles, Dimitris Papailiopoulos