Conference

Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations

Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness

A Damped Newton Method Achieves Global $O(\frac{1}{k^2})$ and Local Quadratic Convergence Rate

Suppressing Poisoning Attacks on Federated Learning for Medical Imaging

The Power of First-Order Smooth Optimization for Black-Box Non-Smooth Problems

Embedded Online Machine Learning

An Accelerated Second-Order Method for Distributed Stochastic Optimization