Papers
4,025 papers found
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks
Qin Ding, Cho-Jui Hsieh, James Sharpnack
Robust Training in High Dimensions via Block Coordinate Geometric Median Descent
Anish Acharya, Abolfazl Hashemi, Prateek Jain et al.
Safe Active Learning for Multi-Output Gaussian Processes
Cen-You Li, Barbara Rakitsch, Christoph Zimmer
Safe Optimal Design with Applications in Off-Policy Learning
Ruihao Zhu, Branislav Kveton
Sample-and-threshold differential privacy: Histograms and applications
Graham Cormode, Akash Bharadwaj
Sample Complexity of Policy-Based Methods under Off-Policy Sampling and Linear Function Approximation
Zaiwei Chen, Siva Theja Maguluri
Sample Complexity of Robust Reinforcement Learning with a Generative Model
Kishan Panaganti, Dileep Kalathil
Sampling from Arbitrary Functions via PSD Models
Ulysse Marteau-Ferey, Francis Bach, Alessandro Rudi
Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data
Or Dinari, Oren Freifeld
SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums
Jiabin Chen, Rui Yuan, Guillaume Garrigos et al.
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion
Tian Tong, Cong Ma, Ashley Prater-Bennette et al.
Second-Order Sensitivity Analysis for Bilevel Optimization
Robert Dyro, Edward Schmerling, Nikos Arechiga et al.
Self-training Converts Weak Learners to Strong Learners in Mixture Models
Spencer Frei, Difan Zou, Zixiang Chen et al.
Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness
Beomsu Kim, Junghoon Seo
Sensing Cox Processes via Posterior Sampling and Positive Bases
Mojmir Mutny, Andreas Krause
Sequential Multivariate Change Detection with Calibrated and Memoryless False Detection Rates
Oliver Cobb, Arnaud Van Looveren, Janis Klaise
SHAFF: Fast and consistent SHApley eFfect estimates via random Forests
Clément Bénard, Gérard Biau, Sébastien Da Veiga et al.
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.