conftrace_

compositional optimization

26 papers

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Co-occurring keywords

stochastic optimization (1060) variance reduction (523) non-convex optimization (547) convergence rate (607) bilevel optimization (194) auc maximization (24) minimax optimization (186) sample complexity (1169) stochastic gradient descent (1091) stochastic gradient (296)

Papers

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