Oliver Hinder

33 papers A* 12Journal 21
YearRankTypeTitle / Venue / Authors
2025 J jnl
Optimal Diagonal Preconditioning.
Oper. Res.
Zhaonan Qu, Wenzhi Gao, Oliver Hinder, Yinyu Ye, Zhengyuan Zhou
2025 J jnl
The Sample Complexity of Parameter-Free Stochastic Convex Optimization.
CoRR
Jared Lawrence, Ari Kalinsky, Hannah Bradfield, Yair Carmon, Oliver Hinder
2024 A* conf
Accelerated Parameter-Free Stochastic Optimization.
COLT
Itai Kreisler, Maor Ivgi, Oliver Hinder, Yair Carmon
2024 J jnl
Accelerated Parameter-Free Stochastic Optimization.
CoRR
Itai Kreisler, Maor Ivgi, Oliver Hinder, Yair Carmon
2024 A* conf
The Price of Adaptivity in Stochastic Convex Optimization.
COLT
Yair Carmon, Oliver Hinder
2024 J jnl
The Price of Adaptivity in Stochastic Convex Optimization.
CoRR
Yair Carmon, Oliver Hinder
2024 J jnl
Worst-Case Iteration Bounds for Log Barrier Methods on Problems with Nonconvex Constraints.
Math. Oper. Res.
Oliver Hinder, Yinyu Ye
2024 J jnl
Worst-case analysis of restarted primal-dual hybrid gradient on totally unimodular linear programs.
Oper. Res. Lett.
Oliver Hinder
2023 A* conf
Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations.
NeurIPS
Jungtaek Kim, Mingxuan Li, Oliver Hinder, Paul W. Leu
2023 J jnl
Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations.
CoRR
Jungtaek Kim, Mingxuan Li, Oliver Hinder, Paul W. Leu
2023 A* conf
DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule.
ICML
Maor Ivgi, Oliver Hinder, Yair Carmon
2023 J jnl
DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule.
CoRR
Maor Ivgi, Oliver Hinder, Yair Carmon
2023 J jnl
Faster first-order primal-dual methods for linear programming using restarts and sharpness.
Math. Program.
David L. Applegate, Oliver Hinder, Haihao Lu, Miles Lubin
2022 A* conf
A consistently adaptive trust-region method.
NeurIPS
Fadi Hamad, Oliver Hinder
2022 A* conf
Making SGD Parameter-Free.
COLT
Yair Carmon, Oliver Hinder
2022 J jnl
Making SGD Parameter-Free.
CoRR
Yair Carmon, Oliver Hinder
2022 J jnl
Optimal Diagonal Preconditioning: Theory and Practice.
CoRR
Zhaonan Qu, Wenzhi Gao, Oliver Hinder, Yinyu Ye, Zhengyuan Zhou
2021 J jnl
Lower bounds for finding stationary points II: first-order methods.
Math. Program.
Yair Carmon, John C. Duchi, Oliver Hinder, Aaron Sidford
2021 J jnl
On the behavior of Lagrange multipliers in convex and nonconvex infeasible interior point methods.
Math. Program.
Gabriel Haeser, Oliver Hinder, Yinyu Ye
2021 A* conf
Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient.
NeurIPS
David L. Applegate, Mateo Díaz, Oliver Hinder, Haihao Lu, Miles Lubin, Brendan O'Donoghue, Warren Schudy
2020 A* conf
An efficient nonconvex reformulation of stagewise convex optimization problems.
NeurIPS
Rudy Bunel, Oliver Hinder, Srinadh Bhojanapalli, Krishnamurthy Dvijotham
2020 J jnl
An efficient nonconvex reformulation of stagewise convex optimization problems.
CoRR
Rudy Bunel, Oliver Hinder, Srinadh Bhojanapalli, Krishnamurthy Dvijotham
2020 A* conf
Conic Descent and its Application to Memory-efficient Optimization over Positive Semidefinite Matrices.
NeurIPS
John C. Duchi, Oliver Hinder, Andrew Naber, Yinyu Ye
2020 J jnl
Lower bounds for finding stationary points I.
Math. Program.
Yair Carmon, John C. Duchi, Oliver Hinder, Aaron Sidford
2020 A* conf
Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond.
COLT
Oliver Hinder, Aaron Sidford, Nimit Sharad Sohoni
2019 J jnl
Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond.
CoRR
Oliver Hinder, Aaron Sidford, Nimit Sharad Sohoni
2018 J jnl
A polynomial time log barrier method for problems with nonconvex constraints.
CoRR
Oliver Hinder, Yinyu Ye
2018 J jnl
Accelerated Methods for NonConvex Optimization.
SIAM J. Optim.
Yair Carmon, John C. Duchi, Oliver Hinder, Aaron Sidford
2018 A* conf
Cutting plane methods can be extended into nonconvex optimization.
COLT
Oliver Hinder
2018 J jnl
Cutting plane methods can be extended into nonconvex optimization.
CoRR
Oliver Hinder
2017 A* conf
"Convex Until Proven Guilty": Dimension-Free Acceleration of Gradient Descent on Non-Convex Functions.
ICML
Yair Carmon, John C. Duchi, Oliver Hinder, Aaron Sidford
2017 J jnl
A novel integer programing formulation for scheduling with family setup times on a single machine to minimize maximum lateness.
Eur. J. Oper. Res.
Oliver Hinder, Andrew J. Mason
2016 J jnl
Accelerated Methods for Non-Convex Optimization.
CoRR
Yair Carmon, John C. Duchi, Oliver Hinder, Aaron Sidford