Co-occurring keywords · papers mentioning both
Papers
Sketch-and-Project Meets Newton Method: Global $O(1/k^2)$ Convergence with Low-Rank Updates
AISTATS 2025
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
NeurIPS 2024
Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation
AISTATS 2020
Self-Concordant Analysis of Frank-Wolfe Algorithms
ICML 2020
Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses
NeurIPS 2019
Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values
ICML 2017
Composite Self-Concordant Minimization
JMLR 2015
DiSCO: Distributed Optimization for Self-Concordant Empirical Loss
ICML 2015
A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions
ICML 2013