Papers
8,340 papers found
Speeding Up Bellman Ford via Minimum Violation Permutations
Silvio Lattanzi, Ola Svensson, Sergei Vassilvitskii
Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary
Alexander Lindermayr, Nicole Megow, Martin Rapp
SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference
Ran Ran, Xinwei Luo, Wei Wang et al.
Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere
Boris Bonev, Thorsten Kurth, Christian Hundt et al.
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
Louis C. Tiao, Vincent Dutordoir, Victor Picheny
SpotEM: Efficient Video Search for Episodic Memory
Santhosh Kumar Ramakrishnan, Ziad Al-Halah, Kristen Grauman
spred: Solving L1 Penalty with SGD
Liu Ziyin, Zihao Wang
Spurious Valleys and Clustering Behavior of Neural Networks
Samuele Pollaci
SRATTA: Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning.
Tanguy Marchand, Regis Loeb, Ulysse Marteau-Ferey et al.
Stabilizing GANs’ Training with Brownian Motion Controller
Tianjiao Luo, Ziyu Zhu, Jianfei Chen et al.
Stabilizing Transformer Training by Preventing Attention Entropy Collapse
Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin et al.
Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning
Seungwook Kim, Chunghyun Park, Yoonwoo Jeong et al.
Stable Estimation of Heterogeneous Treatment Effects
Anpeng Wu, Kun Kuang, Ruoxuan Xiong et al.
State and parameter learning with PARIS particle Gibbs
Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff et al.
Statistical Foundations of Prior-Data Fitted Networks
Thomas Nagler
Statistical Indistinguishability of Learning Algorithms
Alkis Kalavasis, Amin Karbasi, Shay Moran et al.
Statistical Inference and A/B Testing for First-Price Pacing Equilibria
Luofeng Liao, Christian Kroer
Statistical Inference on Multi-armed Bandits with Delayed Feedback
Lei Shi, Jingshen Wang, Tianhao Wu
Statistical Learning under Heterogeneous Distribution Shift
Max Simchowitz, Anurag Ajay, Pulkit Agrawal et al.
STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning
Souradip Chakraborty, Amrit Bedi, Alec Koppel et al.
Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning
Nicolas Castanet, Olivier Sigaud, Sylvain Lamprier
STEP: Learning N:M Structured Sparsity Masks from Scratch with Precondition
Yucheng Lu, Shivani Agrawal, Suvinay Subramanian et al.
Stochastic Gradient Descent-Induced Drift of Representation in a Two-Layer Neural Network
Farhad Pashakhanloo, Alexei Koulakov
Stochastic Gradient Succeeds for Bandits
Jincheng Mei, Zixin Zhong, Bo Dai et al.