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Papers
Faster Newton Methods for Convex and Nonconvex Optimization in Gradient Complexity
COLT 2026
Hessian-Free Online Certified Unlearning
ICLR 2025
Instability, Computational Efficiency and Statistical Accuracy
JMLR 2025
Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing
ICLR 2025
Numerical Pruning for Efficient Autoregressive Models
AAAI 2025
Sketch-and-Project Meets Newton Method: Global $O(1/k^2)$ Convergence with Low-Rank Updates
AISTATS 2025
Communication Efficient Distributed Newton Method over Unreliable Networks
AAAI 2024
FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning
AAAI 2024
Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms
NeurIPS 2024
Safe and Sparse Newton Method for Entropic-Regularized Optimal Transport
NeurIPS 2024
Score Operator Newton transport
AISTATS 2024
Sketched Newton Value Iteration for Large-Scale Markov Decision Processes
AAAI 2024
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching
ICML 2023
Efficient Second-Order Plane Adjustment
CVPR 2023
Optimal Shrinkage for Distributed Second-Order Optimization
ICML 2023
Second-Order Optimization with Lazy Hessians
ICML 2023
A Damped Newton Method Achieves Global $\mathcal O \left(\frac{1}{k^2}\right)$ and Local Quadratic Convergence Rate
NeurIPS 2022
EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation
JMLR 2022
FedNL: Making Newton-Type Methods Applicable to Federated Learning
ICML 2022
Learning Linear Models Using Distributed Iterative Hessian Sketching
L4DC 2022
Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality
ICML 2021
An algorithmic view of L2 regularization and some path-following algorithms
JMLR 2021
An Inertial Newton Algorithm for Deep Learning
JMLR 2021
A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples
ICML 2021
Distributed Second Order Methods with Fast Rates and Compressed Communication
ICML 2021