Papers
Sorting Out Lipschitz Function Approximation
Cem Anil, James Lucas, Roger Grosse
Sparse Extreme Multi-label Learning with Oracle Property
Weiwei Liu, Xiaobo Shen
Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data
Luigi Antelmi, Nicholas Ayache, Philippe Robert et al.
Spectral Approximate Inference
Sejun Park, Eunho Yang, Se-Young Yun et al.
Spectral Clustering of Signed Graphs via Matrix Power Means
Pedro Mercado, Francesco Tudisco, Matthias Hein
Stable and Fair Classification
Lingxiao Huang, Nisheeth Vishnoi
Stable-Predictive Optimistic Counterfactual Regret Minimization
Gabriele Farina, Christian Kroer, Noam Brown et al.
State-Regularized Recurrent Neural Networks
Cheng Wang, Mathias Niepert
State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations
Alex Lamb, Jonathan Binas, Anirudh Goyal et al.
Static Automatic Batching In TensorFlow
Ashish Agarwal
Statistical Foundations of Virtual Democracy
Anson Kahng, Min Kyung Lee, Ritesh Noothigattu et al.
Statistics and Samples in Distributional Reinforcement Learning
Mark Rowland, Robert Dadashi, Saurabh Kumar et al.
Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging
Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya et al.
Stein Point Markov Chain Monte Carlo
Wilson Ye Chen, Alessandro Barp, Francois-Xavier Briol et al.
Stochastic Beams and Where To Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement
Wouter Kool, Herke Van Hoof, Max Welling
Stochastic Blockmodels meet Graph Neural Networks
Nikhil Mehta, Lawrence Carin Duke, Piyush Rai
Stochastic Deep Networks
Gwendoline De Bie, Gabriel Peyré, Marco Cuturi
Stochastic Gradient Push for Distributed Deep Learning
Mahmoud Assran, Nicolas Loizou, Nicolas Ballas et al.
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization
Baojian Zhou, Feng Chen, Yiming Ying
Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence
Yi Xu, Qi Qi, Qihang Lin et al.
Structured agents for physical construction
Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch et al.
Sublinear quantum algorithms for training linear and kernel-based classifiers
Tongyang Li, Shouvanik Chakrabarti, Xiaodi Wu
Sublinear Time Nearest Neighbor Search over Generalized Weighted Space
Yifan Lei, Qiang Huang, Mohan Kankanhalli et al.
Submodular Cost Submodular Cover with an Approximate Oracle
Victoria Crawford, Alan Kuhnle, My Thai