conftrace_

hessian approximation

41 papers

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Co-occurring keywords

quasi-newton method (60) second-order optimization (93) stochastic gradient descent (1091) second-order method (38) stochastic optimization (1060) newton method (64) neural network optimization (1293) convergence rate (607) superlinear convergence (24) markov chain monte carlo (725)

Papers

Fast and Accurate Fisher-Guided Quantization via Efficient Kronecker Factorization ACL 2026
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
FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning AAAI 2024
Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates AAAI 2024
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement NIPS 2024
Adaptive Annealing for Robust Geometric Estimation CVPR 2023
Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence COLT 2023
MUter: Machine Unlearning on Adversarially Trained Models ICCV 2023
Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization NIPS 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 NIPS 2022
Scaling Up Influence Functions AAAI 2022
Deep Unlearning via Randomized Conditionally Independent Hessians CVPR 2022
Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood ICML 2022
Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates AISTATS 2021
Revisiting Weight Initialization of Deep Neural Networks ACML 2021
Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods CVPR 2021
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning AAAI 2021
New Insights and Perspectives on the Natural Gradient Method JMLR 2020
SPAN: A Stochastic Projected Approximate Newton Method AAAI 2020
Continual Learning With Extended Kronecker-Factored Approximate Curvature CVPR 2020
Modular Block-diagonal Curvature Approximations for Feedforward Architectures AISTATS 2020
Nesterov's Acceleration for Approximate Newton JMLR 2020