adaptive method

AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization AAAI 2025 MorphMark: Flexible Adaptive Watermarking for Large Language Models ACL 2025 On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations JMLR 2025 Refining Adaptive Zeroth-Order Optimization at Ease ICML 2025 Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization NeurIPS 2024 IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency ICML 2024 On the convergence of adaptive first order methods: Proximal gradient and alternating minimization algorithms L4DC 2024 Scaled Conjugate Gradient Method for Nonconvex Optimization in Deep Neural Networks JMLR 2024 Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization NeurIPS 2023 On the Convergence of Continual Learning with Adaptive Methods UAI 2023 Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods NeurIPS 2023 A consistently adaptive trust-region method NeurIPS 2022 Momentum Accelerates the Convergence of Stochastic AUPRC Maximization AISTATS 2022 On Elimination Strategies for Bandit Fixed-Confidence Identification NeurIPS 2022 Understanding Stochastic Optimization Behavior at the Layer Update Level (Student Abstract) AAAI 2022 ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning AAAI 2021 Adaptive First-Order Methods Revisited: Convex Minimization without Lipschitz Requirements NeurIPS 2021 MetaGrad: Adaptation using Multiple Learning Rates in Online Learning JMLR 2021 Private Adaptive Gradient Methods for Convex Optimization ICML 2021 Spatial Resolution of Early Reflection for Speech and White Noise Interspeech 2020 Why are Adaptive Methods Good for Attention Models? NeurIPS 2020 Convergence Guarantees for Adaptive Bayesian Quadrature Methods NeurIPS 2019 The Role of Memory in Stochastic Optimization UAI 2019 Adaptive Negative Curvature Descent with Applications in Non-convex Optimization NeurIPS 2018 Coordinate Descent with Bandit Sampling NeurIPS 2018