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Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents., , , and . CoRR, (2019)Federated Learning under Covariate Shifts with Generalization Guarantees., , , , and . CoRR, (2023)A unified stochastic approximation framework for learning in games., , and . Math. Program., 203 (1): 559-609 (January 2024)Adaptive Learning-Based Compressive Sampling for Low-power Wireless Implants., , , , , , , , and . IEEE Trans. Circuits Syst. I Regul. Pap., 65-I (11): 3929-3941 (2018)Adversarial Training Should Be Cast as a Non-Zero-Sum Game., , , , and . CoRR, (2023)DiGress: Discrete Denoising diffusion for graph generation., , , , , and . CoRR, (2022)Efficient local linearity regularization to overcome catastrophic overfitting., , , , and . CoRR, (2024)Learning in games from a stochastic approximation viewpoint., , and . CoRR, (2022)Optimization for Reinforcement Learning: From a single agent to cooperative agents., , , and . IEEE Signal Process. Mag., 37 (3): 123-135 (2020)Machine Learning From Distributed, Streaming Data From the Guest Editors., , , and . IEEE Signal Process. Mag., 37 (3): 11-13 (2020)