Papers
Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization
Quoc Tran-Dinh, Nhan Pham, Lam Nguyen
Stochastic Gradient and Langevin Processes
Xiang Cheng, Dong Yin, Peter Bartlett et al.
Stochastic Hamiltonian Gradient Methods for Smooth Games
Nicolas Loizou, Hugo Berard, Alexia Jolicoeur-Martineau et al.
Stochastic Latent Residual Video Prediction
Jean-Yves Franceschi, Edouard Delasalles, Mickael Chen et al.
Stochastic Optimization for Non-convex Inf-Projection Problems
Yan Yan, Yi Xu, Lijun Zhang et al.
Stochastic Optimization for Regularized Wasserstein Estimators
Marin Ballu, Quentin Berthet, Francis Bach
StochasticRank: Global Optimization of Scale-Free Discrete Functions
Aleksei Ustimenko, Liudmila Prokhorenkova
Stochastic Regret Minimization in Extensive-Form Games
Gabriele Farina, Christian Kroer, Tuomas Sandholm
Stochastic Subspace Cubic Newton Method
Filip Hanzely, Nikita Doikov, Yurii Nesterov et al.
Strategic Classification is Causal Modeling in Disguise
John Miller, Smitha Milli, Moritz Hardt
Strategyproof Mean Estimation from Multiple-Choice Questions
Anson Kahng, Gregory Kehne, Ariel Procaccia
Streaming Coresets for Symmetric Tensor Factorization
Rachit Chhaya, Jayesh Choudhari, Anirban Dasgupta et al.
Streaming k-Submodular Maximization under Noise subject to Size Constraint
Lan Nguyen, My T. Thai
Streaming Submodular Maximization under a k-Set System Constraint
Ran Haba, Ehsan Kazemi, Moran Feldman et al.
Strength from Weakness: Fast Learning Using Weak Supervision
Joshua Robinson, Stefanie Jegelka, Suvrit Sra
Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling
Che Wang, Yanqiu Wu, Quan Vuong et al.
Stronger and Faster Wasserstein Adversarial Attacks
Kaiwen Wu, Allen Wang, Yaoliang Yu
Structural Language Models of Code
Uri Alon, Roy Sadaka, Omer Levy et al.
Structure Adaptive Algorithms for Stochastic Bandits
Rémy Degenne, Han Shao, Wouter Koolen
Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis
Vidyashankar Sivakumar, Steven Wu, Arindam Banerjee
Structured Policy Iteration for Linear Quadratic Regulator
Youngsuk Park, Ryan Rossi, Zheng Wen et al.
Structured Prediction with Partial Labelling through the Infimum Loss
Vivien Cabannnes, Alessandro Rudi, Francis Bach
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location
Rasheed El-Bouri, David Eyre, Peter Watkinson et al.
Sub-Goal Trees a Framework for Goal-Based Reinforcement Learning
Tom Jurgenson, Or Avner, Edward Groshev et al.