auc maximization

Towards Nonlinear Sparse AUC Maximization via Compositional Stochastic Hard Thresholding AAAI 2026 Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization AAAI 2025 A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization ICML 2024 AUC-CL: A Batchsize-Robust Framework for Self-Supervised Contrastive Representation Learning ICLR 2024 AUC Maximization under Positive Distribution Shift NeurIPS 2024 Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging AAAI 2024 AUC Maximization for Low-Resource Named Entity Recognition AAAI 2023 AUC Maximization in Imbalanced Lifelong Learning UAI 2023 Communication-Efficient Stochastic Gradient Descent Ascent with Momentum Algorithms IJCAI 2023 Federated Compositional Deep AUC Maximization NeurIPS 2023 Provable Multi-instance Deep AUC Maximization with Stochastic Pooling ICML 2023 Balanced Self-Paced Learning for AUC Maximization AAAI 2022 Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization NeurIPS 2022 Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity ICML 2021 Stochastic Proximal AUC Maximization JMLR 2021 Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks ICML 2020 Pairwise Learning with Differential Privacy Guarantees AAAI 2020 Stochastic AUC Maximization with Deep Neural Networks ICLR 2020 On Symmetric Losses for Learning from Corrupted Labels ICML 2019 Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy AAAI 2019 Fast Stochastic AUC Maximization with $O(1/n)$-Convergence Rate ICML 2018 Generalization Bounds for Regularized Pairwise Learning IJCAI 2018 Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data ICML 2018 Stochastic Proximal Algorithms for AUC Maximization ICML 2018 Fast Convergence of Online Pairwise Learning Algorithms AISTATS 2016