Papers citing 'A Wasserstein Minimax Framework for Mixed Linear Regression'

Title
PCDVQ: Enhancing Vector Quantization for Large Language Models via Polar Coordinate Decoupling Yuxuan Yue Zukang Xu Zhihang Yuan Dawei Yang Jianglong Wu Liqiang Nie MQ 223 0 0 05 Jun 2025
EM for Mixture of Linear Regression with Clustered DataInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Amirhossein Reisizadeh Khashayar Gatmiry Asuman Ozdaglar FedML 91 1 0 22 Aug 2023
Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical SystemsInternational Conference on Machine Learning (ICML), 2023 Ainesh Bakshi Allen Liu Ankur Moitra Morris Yau 193 10 0 13 Jul 2023
Imbalanced Mixed Linear RegressionNeural Information Processing Systems (NeurIPS), 2023 Pini Zilber B. Nadler 130 5 0 29 Jan 2023
An Optimal Transport Approach to Personalized Federated LearningIEEE Journal on Selected Areas in Information Theory (JSAIT), 2022 Farzan Farnia Amirhossein Reisizadeh Ramtin Pedarsani Ali Jadbabaie OT OOD FedML 183 20 0 06 Jun 2022
Learning Mixtures of Linear Dynamical SystemsInternational Conference on Machine Learning (ICML), 2022 Yanxi Chen H. Vincent Poor 249 20 0 26 Jan 2022
Collaboration Equilibrium in Federated Learning Sen Cui Jian Liang Weishen Pan Kun Chen Changshui Zhang Fei Wang FedML 148 31 0 18 Aug 2021