convergence

FedBAT: Communication-Efficient Federated Learning via Learnable Binarization ICML 2024 Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods? ICML 2024 Position: The Platonic Representation Hypothesis ICML 2024 Reflective Policy Optimization ICML 2024 Regularized Q-learning through Robust Averaging ICML 2024 Sample as you Infer: Predictive Coding with Langevin Dynamics ICML 2024 Stochastic Q-learning for Large Discrete Action Spaces ICML 2024 Triadic-OCD: Asynchronous Online Change Detection with Provable Robustness, Optimality, and Convergence ICML 2024 UGrid: An Efficient-And-Rigorous Neural Multigrid Solver for Linear PDEs ICML 2024 Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation ICML 2024 Faster saddle-point optimization for solving large-scale Markov decision processes L4DC 2020 Approximation Analysis of Stochastic Gradient Langevin Dynamics by using Fokker-Planck Equation and Ito Process ICML 2014 Computational Equivalence of Fixed Points and No Regret Algorithms, and Convergence to Equilibria NeurIPS 2007