low-rank model

FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models AAAI 2026 FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees ICML 2024 Linear Distance Metric Learning with Noisy Labels JMLR 2024 Offline Multitask Representation Learning for Reinforcement Learning NeurIPS 2024 Conformalized matrix completion NeurIPS 2023 Fitting low-rank models on egocentrically sampled partial networks AISTATS 2023 Statistical and Computational Limits for Tensor-on-Tensor Association Detection COLT 2023 Under-Counted Tensor Completion with Neural Incorporation of Attributes ICML 2023 Exploiting Correlation to Achieve Faster Learning Rates in Low-Rank Preference Bandits AISTATS 2022 Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data NeurIPS 2020 Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing NeurIPS 2019 Temporal Anomaly Detection: Calibrating the Surprise AAAI 2019 Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames NeurIPS 2018 Missing Slice Recovery for Tensors Using a Low-Rank Model in Embedded Space CVPR 2018 Representations of Bayesian networks by low-rank models PGM 2018 Time-Sensitive Recommendation From Recurrent User Activities NeurIPS 2015 A Generalized Low-Rank Appearance Model for Spatio-temporally Correlated Rain Streaks ICCV 2013 Bilinear classifiers for visual recognition NeurIPS 2009