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On Symplectic Optimization

On Symplectic Optimization

10 February 2018
M. Betancourt
Michael I. Jordan
Ashia Wilson
ArXivPDFHTML

Papers citing "On Symplectic Optimization"

15 / 15 papers shown
Title
Accelerating optimization over the space of probability measures
Accelerating optimization over the space of probability measures
Shi Chen
Wenxuan Wu
Yuhang Yao
Stephen J. Wright
29
4
0
06 Oct 2023
Accelerated First-Order Optimization under Nonlinear Constraints
Accelerated First-Order Optimization under Nonlinear Constraints
Michael Muehlebach
Michael I. Jordan
48
3
0
01 Feb 2023
On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling
  Walks
On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks
Yizhou Liu
Weijie J. Su
Tongyang Li
24
17
0
29 Sep 2022
Geometric Methods for Sampling, Optimisation, Inference and Adaptive
  Agents
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents
Alessandro Barp
Lancelot Da Costa
G. Francca
Karl J. Friston
Mark Girolami
Michael I. Jordan
G. Pavliotis
31
25
0
20 Mar 2022
On Constraints in First-Order Optimization: A View from Non-Smooth
  Dynamical Systems
On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems
Michael Muehlebach
Michael I. Jordan
39
18
0
17 Jul 2021
Revisiting the Role of Euler Numerical Integration on Acceleration and
  Stability in Convex Optimization
Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization
Peiyuan Zhang
Antonio Orvieto
Hadi Daneshmand
Thomas Hofmann
Roy S. Smith
27
9
0
23 Feb 2021
On dissipative symplectic integration with applications to
  gradient-based optimization
On dissipative symplectic integration with applications to gradient-based optimization
G. Francca
Michael I. Jordan
René Vidal
19
47
0
15 Apr 2020
From Nesterov's Estimate Sequence to Riemannian Acceleration
From Nesterov's Estimate Sequence to Riemannian Acceleration
Kwangjun Ahn
S. Sra
22
73
0
24 Jan 2020
Shadowing Properties of Optimization Algorithms
Shadowing Properties of Optimization Algorithms
Antonio Orvieto
Aurelien Lucchi
30
18
0
12 Nov 2019
Continuous Time Analysis of Momentum Methods
Continuous Time Analysis of Momentum Methods
Nikola B. Kovachki
Andrew M. Stuart
20
32
0
10 Jun 2019
Accelerated Flow for Probability Distributions
Accelerated Flow for Probability Distributions
Amirhossein Taghvaei
P. Mehta
40
30
0
10 Jan 2019
Understanding the Acceleration Phenomenon via High-Resolution
  Differential Equations
Understanding the Acceleration Phenomenon via High-Resolution Differential Equations
Bin Shi
S. Du
Michael I. Jordan
Weijie J. Su
17
251
0
21 Oct 2018
Continuous-time Models for Stochastic Optimization Algorithms
Continuous-time Models for Stochastic Optimization Algorithms
Antonio Orvieto
Aurelien Lucchi
16
31
0
05 Oct 2018
Direct Runge-Kutta Discretization Achieves Acceleration
Direct Runge-Kutta Discretization Achieves Acceleration
Junzhe Zhang
Aryan Mokhtari
S. Sra
Ali Jadbabaie
19
107
0
01 May 2018
A Differential Equation for Modeling Nesterov's Accelerated Gradient
  Method: Theory and Insights
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
Weijie Su
Stephen P. Boyd
Emmanuel J. Candes
108
1,154
0
04 Mar 2015
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