convergence guarantee

Distributed Offline Policy Optimization Over Batch Data AISTATS 2023 Exploiting hidden structures in non-convex games for convergence to Nash equilibrium NeurIPS 2023 FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance AAAI 2023 Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space ICML 2023 Gibbsian Polar Slice Sampling ICML 2023 High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance ICML 2023 H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets NeurIPS 2023 Learning Sparse Graphon Mean Field Games AISTATS 2023 LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence ICLR 2023 Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach AAAI 2023 Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach ICLR 2023 Modified Retrace for Off-Policy Temporal Difference Learning UAI 2023 Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization Methods ICML 2023 On the Convergence of Black-Box Variational Inference NeurIPS 2023 On the Convergence of Stochastic Gradient Descent with Bandwidth-based Step Size JMLR 2023 Policy-Based Primal-Dual Methods for Convex Constrained Markov Decision Processes AAAI 2023 Provable convergence guarantees for black-box variational inference NeurIPS 2023 Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games NeurIPS 2023 Quantized Distributed Training of Large Models with Convergence Guarantees ICML 2023 Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees ICML 2023 Safeguarded Learned Convex Optimization AAAI 2023 Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract) IJCAI 2023 Single Timescale Actor-Critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees JMLR 2023 Solving Constrained Variational Inequalities via a First-order Interior Point-based Method ICLR 2023 Sparse Training with Lipschitz Continuous Loss Functions and a Weighted Group L0-norm Constraint JMLR 2023