Papers
Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective
Margalit R. Glasgow, Honglin Yuan, Tengyu Ma
Sinkformers: Transformers with Doubly Stochastic Attention
Michael E. Sander, Pierre Ablin, Mathieu Blondel et al.
Sketch-and-lift: scalable subsampled semidefinite program for K-means clustering
Yubo Zhuang, Xiaohui Chen, Yun Yang
Sobolev Norm Learning Rates for Conditional Mean Embeddings
Prem Talwai, Ali Shameli, David Simchi-Levi
Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics
Tam Le, Truyen Nguyen, Dinh Phung et al.
Solving Marginal MAP Exactly by Probabilistic Circuit Transformations
Yoojung Choi, Tal Friedman, Guy Van Den Broeck
Solving Multi-Arm Bandit Using a Few Bits of Communication
Osama A. Hanna, Lin Yang, Christina Fragouli
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification
Ashwinee Panda, Saeed Mahloujifar, Arjun Nitin Bhagoji et al.
Spectral Pruning for Recurrent Neural Networks
Takashi Furuya, Kazuma Suetake, Koichi Taniguchi et al.
Spectral risk-based learning using unbounded losses
Matthew J. Holland, El Mehdi Haress
Spectral Robustness for Correlation Clustering Reconstruction in Semi-Adversarial Models
Flavio Chierichetti, Alessandro Panconesi, Giuseppe Re et al.
Spiked Covariance Estimation from Modulo-Reduced Measurements
Elad Romanov, Or Ordentlich
State Dependent Performative Prediction with Stochastic Approximation
Qiang Li, Hoi-To Wai
Stateful Offline Contextual Policy Evaluation and Learning
Nathan Kallus, Angela Zhou
Statistical and computational thresholds for the planted k-densest sub-hypergraph problem
Luca Corinzia, Paolo Penna, Wojciech Szpankowski et al.
Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications
Morgane Goibert, Stephan Clemencon, Ekhine Irurozki et al.
Stochastic Extragradient: General Analysis and Improved Rates
Eduard Gorbunov, Hugo Berard, Gauthier Gidel et al.
Strategic ranking
Lydia T. Liu, Nikhil Garg, Christian Borgs
Structured Multi-task Learning for Molecular Property Prediction
Shengchao Liu, Meng Qu, Zuobai Zhang et al.
Structured variational inference in Bayesian state-space models
Honggang Wang, Anirban Bhattacharya, Debdeep Pati et al.
Super-Acceleration with Cyclical Step-sizes
Baptiste Goujaud, Damien Scieur, Aymeric Dieuleveut et al.
Survival regression with proper scoring rules and monotonic neural networks
David Rindt, Robert Hu, David Steinsaltz et al.
Synthsonic: Fast, Probabilistic modeling and Synthesis of Tabular Data
Max Baak, Simon Brugman, Ilan Fridman Rojas et al.