Papers
Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding
Shengjie Luo, Shanda Li, Tianle Cai et al.
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks
Qiyu Kang, Yang Song, Qinxu Ding et al.
Stateful ODE-Nets using Basis Function Expansions
Alejandro Queiruga, N. Benjamin Erichson, Liam Hodgkinson et al.
Stateful Strategic Regression
Keegan Harris, Hoda Heidari, Steven Z. Wu
Statistical Inference with M-Estimators on Adaptively Collected Data
Kelly Zhang, Lucas Janson, Susan Murphy
Statistically and Computationally Efficient Linear Meta-representation Learning
Kiran K Thekumparampil, Prateek Jain, Praneeth Netrapalli et al.
Statistical Query Lower Bounds for List-Decodable Linear Regression
Ilias Diakonikolas, Daniel Kane, Ankit Pensia et al.
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency
Anish Chakrabarty, Swagatam Das
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning
Prashant Khanduri, PRANAY SHARMA, Haibo Yang et al.
STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data
Zhi Zhou, Lan-Zhe Guo, Zhanzhan Cheng et al.
Stochastic $L^\natural$-convex Function Minimization
Haixiang Zhang, Zeyu Zheng, Javad Lavaei
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization
Fuchao Wei, Chenglong Bao, Yang Liu
Stochastic bandits with groups of similar arms.
Fabien Pesquerel, Hassan SABER, Odalric-Ambrym Maillard
Stochastic Bias-Reduced Gradient Methods
Hilal Asi, Yair Carmon, Arun Jambulapati et al.
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity
Nicolas Loizou, Hugo Berard, Gauthier Gidel et al.
Stochastic Multi-Armed Bandits with Control Variates
Arun Verma, Manjesh Kumar Hanawal
Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge
Reda Ouhamma, Odalric-Ambrym Maillard, Vianney Perchet
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence
Qi Qi, Youzhi Luo, Zhao Xu et al.
Stochastic optimization under time drift: iterate averaging, step-decay schedules, and high probability guarantees
Joshua Cutler, Dmitriy Drusvyatskiy, Zaid Harchaoui
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret
Jean Tarbouriech, Runlong Zhou, Simon S Du et al.
Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser
Zahra Kadkhodaie, Eero P. Simoncelli
Storchastic: A Framework for General Stochastic Automatic Differentiation
Emile Krieken, Jakub Tomczak, Annette Ten Teije
STORM+: Fully Adaptive SGD with Recursive Momentum for Nonconvex Optimization
Kfir Levy, Ali Kavis, Volkan Cevher
Strategic Behavior is Bliss: Iterative Voting Improves Social Welfare
Joshua Kavner, Lirong Xia