convergence analysis

On the Convergence of Black-Box Variational Inference NeurIPS 2023 On the Convergence of CART under Sufficient Impurity Decrease Condition NeurIPS 2023 On the Convergence of Federated Averaging with Cyclic Client Participation ICML 2023 On the Convergence of SARSA with Linear Function Approximation ICML 2023 On the Convergence of Stochastic Gradient Descent with Bandwidth-based Step Size JMLR 2023 On the Training Instability of Shuffling SGD with Batch Normalization ICML 2023 Performative Reinforcement Learning ICML 2023 Practical Sharpness-Aware Minimization Cannot Converge All the Way to Optima NeurIPS 2023 Q-Learning for MDPs with General Spaces: Convergence and Near Optimality via Quantization under Weak Continuity JMLR 2023 Scale Invariant Power Iteration JMLR 2023 Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions NeurIPS 2023 Solving stochastic weak Minty variational inequalities without increasing batch size ICLR 2023 TD Convergence: An Optimization Perspective NeurIPS 2023 The k-Cap Process on Geometric Random Graphs COLT 2023 Unbiased Compression Saves Communication in Distributed Optimization: When and How Much? NeurIPS 2023 When Do Curricula Work in Federated Learning? ICCV 2023 Why Target Networks Stabilise Temporal Difference Methods ICML 2023 Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms ICLR 2023 A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications ICLR 2022 Adam Can Converge Without Any Modification On Update Rules NeurIPS 2022 A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization AISTATS 2022 Anarchic Federated Learning ICML 2022 A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning NeurIPS 2022 A Parametric Class of Approximate Gradient Updates for Policy Optimization ICML 2022 A proof of convergence for the gradient descent optimization method with random initializations in the training of neural networks with ReLU activation for piecewise linear target functions JMLR 2022