Papers
SAGA with Arbitrary Sampling
Xun Qian, Zheng Qu, Peter Richtárik
Same, Same But Different: Recovering Neural Network Quantization Error Through Weight Factorization
Eldad Meller, Alexander Finkelstein, Uri Almog et al.
Sample-Optimal Parametric Q-Learning Using Linearly Additive Features
Lin Yang, Mengdi Wang
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver
Po-Wei Wang, Priya Donti, Bryan Wilder et al.
Scalable Fair Clustering
Arturs Backurs, Piotr Indyk, Krzysztof Onak et al.
Scalable Learning in Reproducing Kernel Krein Spaces
Dino Oglic, Thomas Gärtner
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets
Rob Cornish, Paul Vanetti, Alexandre Bouchard-Cote et al.
Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap
Edwin Fong, Simon Lyddon, Chris Holmes
Scalable Training of Inference Networks for Gaussian-Process Models
Jiaxin Shi, Mohammad Emtiyaz Khan, Jun Zhu
Scale-free adaptive planning for deterministic dynamics & discounted rewards
Peter Bartlett, Victor Gabillon, Jennifer Healey et al.
Scaling Up Ordinal Embedding: A Landmark Approach
Jesse Anderton, Javed Aslam
Screening rules for Lasso with non-convex Sparse Regularizers
Alain Rakotomamonjy, Gilles Gasso, Joseph Salmon
SelectiveNet: A Deep Neural Network with an Integrated Reject Option
Yonatan Geifman, Ran El-Yaniv
Self-Attention Generative Adversarial Networks
Han Zhang, Ian Goodfellow, Dimitris Metaxas et al.
Self-Attention Graph Pooling
Junhyun Lee, Inyeop Lee, Jaewoo Kang
SELFIE: Refurbishing Unclean Samples for Robust Deep Learning
Hwanjun Song, Minseok Kim, Jae-Gil Lee
Self-similar Epochs: Value in arrangement
Eliav Buchnik, Edith Cohen, Avinatan Hasidim et al.
Self-Supervised Exploration via Disagreement
Deepak Pathak, Dhiraj Gandhi, Abhinav Gupta
Semi-Cyclic Stochastic Gradient Descent
Hubert Eichner, Tomer Koren, Brendan Mcmahan et al.
Sensitivity Analysis of Linear Structural Causal Models
Carlos Cinelli, Daniel Kumor, Bryant Chen et al.
Separating value functions across time-scales
Joshua Romoff, Peter Henderson, Ahmed Touati et al.
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
Juho Lee, Yoonho Lee, Jungtaek Kim et al.
Sever: A Robust Meta-Algorithm for Stochastic Optimization
Ilias Diakonikolas, Gautam Kamath, Daniel Kane et al.
SGD: General Analysis and Improved Rates
Robert Mansel Gower, Nicolas Loizou, Xun Qian et al.