Papers
SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise
Abdullah Alomar, Munther Dahleh, Sean Mann et al.
Sample based Explanations via Generalized Representers
Che-Ping Tsai, Chih-Kuan Yeh, Pradeep K. Ravikumar
Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling
Zhenyu Zhu, Francesco Locatello, Volkan Cevher
Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms
Qian Yu, Yining Wang, Baihe Huang et al.
Sample Complexity of Forecast Aggregation
Tao Lin, Yiling Chen
Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning
Arnaud Robert, Ciara Pike-Burke, Aldo A Faisal
Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds
Ziqiao Wang, Yongyi Mao
Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents
Woojun Kim, Yongjae Shin, Jongeui Park et al.
Sample-efficient Multi-objective Molecular Optimization with GFlowNets
Yiheng Zhu, Jialu Wu, Chaowen Hu et al.
Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing Networks
Honghao Wei, Xin Liu, Weina Wang et al.
Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent
Jihao Andreas Lin, Javier Antorán, Shreyas Padhy et al.
Sampling from Structured Log-Concave Distributions via a Soft-Threshold Dikin Walk
Oren Mangoubi, Nisheeth K. Vishnoi
Sampling weights of deep neural networks
Erik L Bolager, Iryna Burak, Chinmay Datar et al.
SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model
Di Wang, Jing Zhang, Bo Du et al.
SANFlow: Semantic-Aware Normalizing Flow for Anomaly Detection
Daehyun Kim, Sungyong Baik, Tae Hyun Kim
SARAMIS: Simulation Assets for Robotic Assisted and Minimally Invasive Surgery
Nina Montana-Brown, Shaheer U. Saeed, Ahmed Abdulaal et al.
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
Shuchen Xue, Mingyang Yi, Weijian Luo et al.
SatBird: a Dataset for Bird Species Distribution Modeling using Remote Sensing and Citizen Science Data
Mélisande Teng, Amna Elmustafa, Benjamin Akera et al.
SatLM: Satisfiability-Aided Language Models Using Declarative Prompting
Xi Ye, Qiaochu Chen, Isil Dillig et al.
SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning
Sarp Aykent, Tian Xia
Saving 100x Storage: Prototype Replay for Reconstructing Training Sample Distribution in Class-Incremental Semantic Segmentation
Jinpeng Chen, Runmin Cong, Yuxuan LUO et al.
Scalable 3D Captioning with Pretrained Models
Tiange Luo, Chris Rockwell, Honglak Lee et al.
Scalable Fair Influence Maximization
Xiaobin Rui, Zhixiao Wang, Jiayu Zhao et al.
Scalable Membership Inference Attacks via Quantile Regression
Martin Bertran, Shuai Tang, Aaron Roth et al.
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities
Donghao Ying, Yunkai Zhang, Yuhao Ding et al.