Hinder, Oliver

12 publications

COLT 2024 Accelerated Parameter-Free Stochastic Optimization Itai Kreisler, Maor Ivgi, Oliver Hinder, Yair Carmon

COLT 2024 The Price of Adaptivity in Stochastic Convex Optimization Yair Carmon, Oliver Hinder

NeurIPS 2023 Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations Jungtaek Kim, Mingxuan Li, Oliver Hinder, Paul Leu

ICML 2023 DoG Is SGD’s Best Friend: A Parameter-Free Dynamic Step Size Schedule Maor Ivgi, Oliver Hinder, Yair Carmon

NeurIPS 2022 A Consistently Adaptive Trust-Region Method Fadi Hamad, Oliver Hinder

COLT 2022 Making SGD Parameter-Free Yair Carmon, Oliver Hinder

NeurIPS 2021 Practical Large-Scale Linear Programming Using Primal-Dual Hybrid Gradient David Applegate, Mateo Diaz, Oliver Hinder, Haihao Lu, Miles Lubin, Brendan O'Donoghue, Warren Schudy

NeurIPS 2020 An Efficient Nonconvex Reformulation of Stagewise Convex Optimization Problems Rudy R Bunel, Oliver Hinder, Srinadh Bhojanapalli, Krishnamurthy Dvijotham

NeurIPS 2020 Conic Descent and Its Application to Memory-Efficient Optimization over Positive Semidefinite Matrices John C. Duchi, Oliver Hinder, Andrew Naber, Yinyu Ye

COLT 2020 Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond Oliver Hinder, Aaron Sidford, Nimit Sohoni

COLT 2018 Cutting Plane Methods Can Be Extended into Nonconvex Optimization Oliver Hinder

ICML 2017 “Convex Until Proven Guilty”: Dimension-Free Acceleration of Gradient Descent on Non-Convex Functions Yair Carmon, John C. Duchi, Oliver Hinder, Aaron Sidford