Papers
Sparsity in Partially Controllable Linear Systems
Yonathan Efroni, Sham Kakade, Akshay Krishnamurthy et al.
Spatial-Channel Token Distillation for Vision MLPs
Yanxi Li, Xinghao Chen, Minjing Dong et al.
SPDY: Accurate Pruning with Speedup Guarantees
Elias Frantar, Dan Alistarh
Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty
Jixiang Qing, Tom Dhaene, Ivo Couckuyt
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators
Karolis Martinkus, Andreas Loukas, Nathanaël Perraudin et al.
SpeqNets: Sparsity-aware permutation-equivariant graph networks
Christopher Morris, Gaurav Rattan, Sandra Kiefer et al.
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization
Yuhta Takida, Takashi Shibuya, Weihsiang Liao et al.
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics
Arindam Banerjee, Tiancong Chen, Xinyan Li et al.
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels
Edoardo Cetin, Philip J Ball, Stephen Roberts et al.
Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning
Andrea Zanette, Martin Wainwright
Stable Conformal Prediction Sets
Eugene Ndiaye
Staged Training for Transformer Language Models
Sheng Shen, Pete Walsh, Kurt Keutzer et al.
State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks
Yanqi Chen, Zhaofei Yu, Wei Fang et al.
Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert
Yoonhyung Lee, Sungdong Lee, Joong-Ho Won
Steerable 3D Spherical Neurons
Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck
Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models
Viktor Bengs, Aadirupa Saha, Eyke Hüllermeier
Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function
Qixin Zhang, Zengde Deng, Zaiyi Chen et al.
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning
Konstantinos Kalais, Sotirios Chatzis
Stochastic Reweighted Gradient Descent
Ayoub El Hanchi, David Stephens, Chris Maddison
Stochastic Rising Bandits
Alberto Maria Metelli, Francesco Trovò, Matteo Pirola et al.
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification
Camille Garcin, Maximilien Servajean, Alexis Joly et al.
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses
Keegan Harris, Dung Daniel T Ngo, Logan Stapleton et al.
Strategic Representation
Vineet Nair, Ganesh Ghalme, Inbal Talgam-Cohen et al.
Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk
Tianrui Chen, Aditya Gangrade, Venkatesh Saligrama
Streaming Algorithm for Monotone k-Submodular Maximization with Cardinality Constraints
Alina Ene, Huy Nguyen