Papers
Sets Clustering
Ibrahim Jubran, Murad Tukan, Alaa Maalouf et al.
SGD Learns One-Layer Networks in WGANs
Qi Lei, Jason Lee, Alex Dimakis et al.
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
Qinqing Zheng, Jinshuo Dong, Qi Long et al.
Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification
Chen Dan, Yuting Wei, Pradeep Ravikumar
SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
Bo Han, Gang Niu, Xingrui Yu et al.
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification
Tomer Golany, Kira Radinsky, Daniel Freedman
Simple and Deep Graph Convolutional Networks
Ming Chen, Zhewei Wei, Zengfeng Huang et al.
Simple and sharp analysis of k-means||
Václav Rozhoň
Simultaneous Inference for Massive Data: Distributed Bootstrap
Yang Yu, Shih-Kang Chao, Guang Cheng
Single Point Transductive Prediction
Nilesh Tripuraneni, Lester Mackey
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Vitchyr Pong, Murtaza Dalal, Steven Lin et al.
Small Data, Big Decisions: Model Selection in the Small-Data Regime
Jorg Bornschein, Francesco Visin, Simon Osindero
Smaller, more accurate regression forests using tree alternating optimization
Arman Zharmagambetov, Miguel Carreira-Perpinan
Small-GAN: Speeding up GAN Training using Core-Sets
Samarth Sinha, Han Zhang, Anirudh Goyal et al.
SoftSort: A Continuous Relaxation for the argsort Operator
Sebastian Prillo, Julian Eisenschlos
Soft Threshold Weight Reparameterization for Learnable Sparsity
Aditya Kusupati, Vivek Ramanujan, Raghav Somani et al.
Source Separation with Deep Generative Priors
Vivek Jayaram, John Thickstun
Sparse Convex Optimization via Adaptively Regularized Hard Thresholding
Kyriakos Axiotis, Maxim Sviridenko
Sparse Gaussian Processes with Spherical Harmonic Features
Vincent Dutordoir, Nicolas Durrande, James Hensman
Sparse Shrunk Additive Models
Guodong Liu, Hong Chen, Heng Huang
Sparse Sinkhorn Attention
Yi Tay, Dara Bahri, Liu Yang et al.
Sparse Subspace Clustering with Entropy-Norm
Liang Bai, Jiye Liang
Sparsified Linear Programming for Zero-Sum Equilibrium Finding
Brian Zhang, Tuomas Sandholm
Spectral Clustering with Graph Neural Networks for Graph Pooling
Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi
Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence
Lijun Ding, Yingjie Fei, Qiantong Xu et al.