Papers
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
Streaming Algorithms for High-Dimensional Robust Statistics
Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia et al.
Streaming Algorithms for Support-Aware Histograms
Justin Chen, Piotr Indyk, Tal Wagner
Streaming Inference for Infinite Feature Models
Rylan Schaeffer, Yilun Du, Gabrielle K Liu et al.
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models
Adam Liska, Tomas Kocisky, Elena Gribovskaya et al.
Structural Entropy Guided Graph Hierarchical Pooling
Junran Wu, Xueyuan Chen, Ke Xu et al.
Structure-Aware Transformer for Graph Representation Learning
Dexiong Chen, Leslie O’Bray, Karsten Borgwardt
Structured Stochastic Gradient MCMC
Antonios Alexos, Alex J Boyd, Stephan Mandt
Structure-preserving GANs
Jeremiah Birrell, Markos Katsoulakis, Luc Rey-Bellet et al.
Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation
Steffen Schotthöfer, Tianbai Xiao, Martin Frank et al.
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models
Jen-Hao Rick Chang, Ashish Shrivastava, Hema Koppula et al.
Sublinear-Time Clustering Oracle for Signed Graphs
Stefan Neumann, Pan Peng
Subspace Learning for Effective Meta-Learning
Weisen Jiang, James Kwok, Yu Zhang
Supervised Learning with General Risk Functionals
Liu Leqi, Audrey Huang, Zachary Lipton et al.
Supervised Off-Policy Ranking
Yue Jin, Yue Zhang, Tao Qin et al.
Surrogate Likelihoods for Variational Annealed Importance Sampling
Martin Jankowiak, Du Phan