hessian approximation

Fast and Accurate Fisher-Guided Quantization via Efficient Kronecker Factorization ACL 2026 LS-ViT: Least-Squares Hessian Based Block Reconstruction for Low-Bit Post-Training Quantization of Vision Transformers CVPR 2026 A New Perspective on Shampoo's Preconditioner ICLR 2025 OAC: Output-adaptive Calibration for Accurate Post-training Quantization AAAI 2025 Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin ICCV 2025 Effective Federated Graph Matching ICML 2024 FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning AAAI 2024 Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates AAAI 2024 Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction ICLR 2024 Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments ICML 2024 Quantum Algorithm for Online Exp-concave Optimization ICML 2024 Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement NeurIPS 2024 Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems ECCV 2024 Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization NeurIPS 2023 Adaptive Annealing for Robust Geometric Estimation CVPR 2023 MUter: Machine Unlearning on Adversarially Trained Models ICCV 2023 Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence COLT 2023 Optimal Shrinkage for Distributed Second-Order Optimization ICML 2023 Adaptive Second Order Coresets for Data-efficient Machine Learning ICML 2022 A Variant of Anderson Mixing with Minimal Memory Size NeurIPS 2022 Deep Unlearning via Randomized Conditionally Independent Hessians CVPR 2022 Scaling Up Influence Functions AAAI 2022 Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood ICML 2022 SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation ICLR 2022 ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning AAAI 2021