compositional optimization

Towards Nonlinear Sparse AUC Maximization via Compositional Stochastic Hard Thresholding AAAI 2026 Stability and Generalization for Stochastic (Compositional) Optimizations IJCAI 2025 Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions NeurIPS 2024 Decentralized Multi-Level Compositional Optimization Algorithms with Level-Independent Convergence Rate AISTATS 2024 Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization AAAI 2024 Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization NeurIPS 2024 Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling NeurIPS 2024 Distributed Stochastic Nested Optimization for Emerging Machine Learning Models: Algorithm and Theory AAAI 2023 Federated Compositional Deep AUC Maximization NeurIPS 2023 Learning Unnormalized Statistical Models via Compositional Optimization ICML 2023 Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization NeurIPS 2023 Provable Multi-instance Deep AUC Maximization with Stochastic Pooling ICML 2023 FedNest: Federated Bilevel, Minimax, and Compositional Optimization ICML 2022 Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications ICML 2022 Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence ICML 2022 Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization NeurIPS 2022 Optimal Algorithms for Stochastic Multi-Level Compositional Optimization ICML 2022 Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis AAAI 2022 Are We Forgetting about Compositional Optimisers in Bayesian Optimisation? JMLR 2021 On the Convergence of Stochastic Compositional Gradient Descent Ascent Method IJCAI 2021 Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence NeurIPS 2021 Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization ICML 2020 Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent NeurIPS 2019 Accelerating Stochastic Composition Optimization JMLR 2017 Finite-sum Composition Optimization via Variance Reduced Gradient Descent AISTATS 2017