Papers
Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.
Ioannis Panageas, Stratis Skoulakis, Luca Viano et al.
Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm.
Adrien Vacher, François-Xavier Vialard
Semi-Offline Reinforcement Learning for Optimized Text Generation
Changyu Chen, Xiting Wang, Yiqiao Jin et al.
Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes
Chuhan Xie, Wenhao Yang, Zhihua Zhang
Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model
Young-Geun Choi, Gi-Soo Kim, Yunseo Choi et al.
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
Qinqing Zheng, Mikael Henaff, Brandon Amos et al.
SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification
Pranjal Aggarwal, Ameet Deshpande, Karthik R Narasimhan
Sequence Modeling with Multiresolution Convolutional Memory
Jiaxin Shi, Ke Alexander Wang, Emily Fox
Sequential Changepoint Detection via Backward Confidence Sequences
Shubhanshu Shekhar, Aaditya Ramdas
Sequential Counterfactual Risk Minimization
Houssam Zenati, Eustache Diemert, Matthieu Martin et al.
Sequential Kernelized Independence Testing
Aleksandr Podkopaev, Patrick Blöbaum, Shiva Kasiviswanathan et al.
Sequential Monte Carlo Learning for Time Series Structure Discovery
Feras Saad, Brian Patton, Matthew Douglas Hoffman et al.
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series
Aniruddh Raghu, Payal Chandak, Ridwan Alam et al.
Sequential Predictive Conformal Inference for Time Series
Chen Xu, Yao Xie
Sequential Strategic Screening
Lee Cohen, Saeed Sharifi -Malvajerdi, Kevin Stangl et al.
Sequential Underspecified Instrument Selection for Cause-Effect Estimation
Elisabeth Ailer, Jason Hartford, Niki Kilbertus
Set-membership Belief State-based Reinforcement Learning for POMDPs
Wei Wei, Lijun Zhang, Lin Li et al.
Settling the Reward Hypothesis
Michael Bowling, John D Martin, David Abel et al.
SGD with Large Step Sizes Learns Sparse Features
Maksym Andriushchenko, Aditya Vardhan Varre, Loucas Pillaud-Vivien et al.
Shape-Guided Dual-Memory Learning for 3D Anomaly Detection
Yu-Min Chu, Chieh Liu, Ting-I Hsieh et al.
Shapley Based Residual Decomposition for Instance Analysis
Tommy Liu, Amanda S Barnard
Sharper Bounds for $\ell_p$ Sensitivity Sampling
David Woodruff, Taisuke Yasuda
Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments
Runlong Zhou, Zhang Zihan, Simon Shaolei Du
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances
Ruben Ohana, Kimia Nadjahi, Alain Rakotomamonjy et al.