line search

Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search NeurIPS 2024 Optimal First-Order Algorithms as a Function of Inequalities JMLR 2024 Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction NeurIPS 2023 A Parameter-Free Conditional Gradient Method for Composite Minimization under Hölder Condition JMLR 2023 Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models NeurIPS 2023 Improved Dynamic Regret for Online Frank-Wolfe COLT 2023 Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets ICML 2021 Fast Extra Gradient Methods for Smooth Structured Nonconvex-Nonconcave Minimax Problems NeurIPS 2021 High Probability Complexity Bounds for Line Search Based on Stochastic Oracles NeurIPS 2021 Projection-free Online Learning over Strongly Convex Sets AAAI 2021 Linearly Convergent Frank-Wolfe with Backtracking Line-Search AISTATS 2020 On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond JMLR 2020 Parabolic Approximation Line Search for DNNs NeurIPS 2020 General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme NeurIPS 2019 Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates NeurIPS 2019 Distributed Primal-Dual Optimization for Non-uniformly Distributed Data IJCAI 2018 A Unified Formulation and Fast Accelerated Proximal Gradient Method for Classification JMLR 2017 A New Retraction for Accelerating the Riemannian Three-Factor Low-Rank Matrix Completion Algorithm CVPR 2015 Probabilistic Line Searches for Stochastic Optimization NeurIPS 2015 A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems ICML 2013