AL Kontar, Raed

8 publications

AAAI 2025 FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning Tanapol Kosolwattana, Huazheng Wang, Raed Al Kontar, Ying Lin

NeurIPS 2025 Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models Haoyi Song, Ruihan Ji, Naichen Shi, Fan Lai, Raed Al Kontar

JMLR 2024 Personalized PCA: Decoupling Shared and Unique Features Naichen Shi, Raed Al Kontar

JMLR 2024 Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components Naichen Shi, Salar Fattahi, Raed Al Kontar

NeurIPS 2023 Personalized Dictionary Learning for Heterogeneous Datasets Geyu Liang, Naichen Shi, Raed AL Kontar, Salar Fattahi

JMLR 2022 Gaussian Process Parameter Estimation Using Mini-Batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits Hao Chen, Lili Zheng, Raed Al Kontar, Garvesh Raskutti

NeurIPS 2020 Stochastic Gradient Descent in Correlated Settings: A Study on Gaussian Processes Hao Chen, Lili Zheng, Raed AL Kontar, Garvesh Raskutti

AISTATS 2020 Why Non-Myopic Bayesian Optimization Is Promising and How Far Should We Look-Ahead? a Study via Rollout Xubo Yue, Raed AL Kontar