convergence analysis

Gradient Temporal Difference with Momentum: Stability and Convergence AAAI 2022 HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks AAAI 2022 Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent (Extended Abstract) IJCAI 2022 How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis ICLR 2022 Iterated Vector Fields and Conservatism, with Applications to Federated Learning ALT 2022 Iterative Calculus of Voting under Plurality AAAI 2022 Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks ICLR 2022 Mode estimation on matrix manifolds: Convergence and robustness AISTATS 2022 Noisy Riemannian Gradient Descent for Eigenvalue Computation with Application to Inexact Stochastic Recursive Gradient Algorithm ACML 2022 Nonlinear MCMC for Bayesian Machine Learning NeurIPS 2022 On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond NeurIPS 2022 On Convergence of Lookahead in Smooth Games AISTATS 2022 On Distributed Adaptive Optimization with Gradient Compression ICLR 2022 On Non-local Convergence Analysis of Deep Linear Networks ICML 2022 On the Convergence of Certified Robust Training with Interval Bound Propagation ICLR 2022 On the Convergence of Decentralized Adaptive Gradient Methods ACML 2022 On the Convergence of Fictitious Play: A Decomposition Approach IJCAI 2022 On the Convergence of mSGD and AdaGrad for Stochastic Optimization ICLR 2022 On the convergence of policy gradient methods to Nash equilibria in general stochastic games NeurIPS 2022 On the equivalence of Oja’s algorithm and GROUSE AISTATS 2022 On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games NeurIPS 2022 On the Heterogeneity of Independent Learning Dynamics in Zero-sum Stochastic Games L4DC 2022 Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training ICML 2022 PER-ETD: A Polynomially Efficient Emphatic Temporal Difference Learning Method ICLR 2022 Personalized Federated Learning with Contextualized Generalization IJCAI 2022