Oliver Hinder

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 29

Top Topics

Positive Semidefinite Matrices

Linear Programming

Convex Optimization

Interior Point Methods

Top Venues

Publications

Itai Kreisler, Maor Ivgi, Oliver Hinder, Yair Carmon
Accelerated Parameter-Free Stochastic Optimization. CoRR (2024)
Yair Carmon, Oliver Hinder
The Price of Adaptivity in Stochastic Convex Optimization. CoRR (2024)
Itai Kreisler, Maor Ivgi, Oliver Hinder, Yair Carmon
Accelerated Parameter-Free Stochastic Optimization. COLT (2024)
Yair Carmon, Oliver Hinder
The Price of Adaptivity in Stochastic Convex Optimization. COLT (2024)
Maor Ivgi, Oliver Hinder, Yair Carmon
DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule. CoRR (2023)
Maor Ivgi, Oliver Hinder, Yair Carmon
DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule. ICML (2023)
David L. Applegate, Oliver Hinder, Haihao Lu, Miles Lubin
Faster first-order primal-dual methods for linear programming using restarts and sharpness. Math. Program. 201 (1) (2023)
Jungtaek Kim, Mingxuan Li, Oliver Hinder, Paul W. Leu
Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations. CoRR (2023)
Jungtaek Kim, Mingxuan Li, Oliver Hinder, Paul W. Leu
Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations. NeurIPS (2023)
Zhaonan Qu, Wenzhi Gao, Oliver Hinder, Yinyu Ye, Zhengyuan Zhou
Optimal Diagonal Preconditioning: Theory and Practice. CoRR (2022)
Yair Carmon, Oliver Hinder
Making SGD Parameter-Free. COLT (2022)
Yair Carmon, Oliver Hinder
Making SGD Parameter-Free. CoRR (2022)
Fadi Hamad, Oliver Hinder
A consistently adaptive trust-region method. NeurIPS (2022)
Yair Carmon, John C. Duchi, Oliver Hinder, Aaron Sidford
Lower bounds for finding stationary points II: first-order methods. Math. Program. 185 (1-2) (2021)
David L. Applegate, Mateo Díaz, Oliver Hinder, Haihao Lu, Miles Lubin, Brendan O'Donoghue, Warren Schudy
Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient. NeurIPS (2021)
Gabriel Haeser, Oliver Hinder, Yinyu Ye
On the behavior of Lagrange multipliers in convex and nonconvex infeasible interior point methods. Math. Program. 186 (1) (2021)
John C. Duchi, Oliver Hinder, Andrew Naber, Yinyu Ye
Conic Descent and its Application to Memory-efficient Optimization over Positive Semidefinite Matrices. NeurIPS (2020)
Rudy Bunel, Oliver Hinder, Srinadh Bhojanapalli, Krishnamurthy Dvijotham
An efficient nonconvex reformulation of stagewise convex optimization problems. CoRR (2020)
Oliver Hinder, Aaron Sidford, Nimit Sharad Sohoni
Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond. COLT (2020)
Yair Carmon, John C. Duchi, Oliver Hinder, Aaron Sidford
Lower bounds for finding stationary points I. Math. Program. 184 (1) (2020)
Rudy Bunel, Oliver Hinder, Srinadh Bhojanapalli, Krishnamurthy Dvijotham
An efficient nonconvex reformulation of stagewise convex optimization problems. NeurIPS (2020)
Oliver Hinder, Aaron Sidford, Nimit Sharad Sohoni
Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond. CoRR (2019)
Yair Carmon, John C. Duchi, Oliver Hinder, Aaron Sidford
Accelerated Methods for NonConvex Optimization. SIAM J. Optim. 28 (2) (2018)
Oliver Hinder, Yinyu Ye
A polynomial time log barrier method for problems with nonconvex constraints. CoRR (2018)
Oliver Hinder
Cutting plane methods can be extended into nonconvex optimization. COLT (2018)
Oliver Hinder
Cutting plane methods can be extended into nonconvex optimization. CoRR (2018)
Oliver Hinder, Andrew J. Mason
A novel integer programing formulation for scheduling with family setup times on a single machine to minimize maximum lateness. Eur. J. Oper. Res. 262 (2) (2017)
Yair Carmon, John C. Duchi, Oliver Hinder, Aaron Sidford
"Convex Until Proven Guilty": Dimension-Free Acceleration of Gradient Descent on Non-Convex Functions. ICML (2017)
Yair Carmon, John C. Duchi, Oliver Hinder, Aaron Sidford
Accelerated Methods for Non-Convex Optimization. CoRR (2016)