first-order optimization

Uniform Stability for First-Order Empirical Risk Minimization COLT 2022 Adaptive First-Order Methods Revisited: Convex Minimization without Lipschitz Requirements NeurIPS 2021 Adversarial Regression with Doubly Non-negative Weighting Matrices NeurIPS 2021 A Geometric Structure of Acceleration and Its Role in Making Gradients Small Fast NeurIPS 2021 A Study of Condition Numbers for First-Order Optimization AISTATS 2021 Generating Adversarial Computer Programs using Optimized Obfuscations ICLR 2021 Graph Learning for Inverse Landscape Genetics AAAI 2021 Tilted Empirical Risk Minimization ICLR 2021 A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace UAI 2020 Boosting Frank-Wolfe by Chasing Gradients ICML 2020 Exploiting the Surrogate Gap in Online Multiclass Classification NeurIPS 2020 Improving First-Order Optimization Algorithms (Student Abstract) AAAI 2020 Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions NeurIPS 2019 A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression NeurIPS 2019 Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group ICML 2019 Compressing Gradient Optimizers via Count-Sketches ICML 2019 Open Problem: The Oracle Complexity of Convex Optimization with Limited Memory COLT 2019 The Common-directions Method for Regularized Empirical Risk Minimization JMLR 2019 Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration NeurIPS 2019 Adaptive balancing of gradient and update computation times using global geometry and approximate subproblems AISTATS 2018 On Matching Pursuit and Coordinate Descent ICML 2018 SEGA: Variance Reduction via Gradient Sketching NeurIPS 2018 The Spectrum of the Fisher Information Matrix of a Single-Hidden-Layer Neural Network NeurIPS 2018 Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds NeurIPS 2017 Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares ICML 2017