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Gradient Flow Algorithms for Density Propagation in Stochastic Systems
v1v2 (latest)

Gradient Flow Algorithms for Density Propagation in Stochastic Systems

IEEE Transactions on Automatic Control (IEEE TAC), 2019
1 August 2019
Kenneth F. Caluya
A. Halder
ArXiv (abs)PDFHTML

Papers citing "Gradient Flow Algorithms for Density Propagation in Stochastic Systems"

11 / 11 papers shown
Learning Concave Bid Shading Strategies in Online Auctions via Measure-valued Proximal Optimization
Learning Concave Bid Shading Strategies in Online Auctions via Measure-valued Proximal Optimization
Iman Nodozi
Djordje Gligorijevic
Abhishek Halder
155
0
0
12 Sep 2025
Solution of the Probabilistic Lambert Problem: Connections with Optimal
  Mass Transport, Schrödinger Bridge and Reaction-Diffusion PDEs
Solution of the Probabilistic Lambert Problem: Connections with Optimal Mass Transport, Schrödinger Bridge and Reaction-Diffusion PDEs
Alexis M. H. Teter
Iman Nodozi
Abhishek Halder
328
4
0
15 Jan 2024
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference
Wasserstein Gradient Flow over Variational Parameter Space for Variational InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Dai Hai Nguyen
Tetsuya Sakurai
Hiroshi Mamitsuka
616
4
0
25 Oct 2023
Optimal Mass Transport over the Euler Equation
Optimal Mass Transport over the Euler EquationIEEE Conference on Decision and Control (CDC), 2023
Charlie Yan
Iman Nodozi
A. Halder
OT
282
1
0
02 Apr 2023
Proximal Mean Field Learning in Shallow Neural Networks
Proximal Mean Field Learning in Shallow Neural Networks
Alexis M. H. Teter
Iman Nodozi
A. Halder
FedML
315
1
0
25 Oct 2022
A Distributed Algorithm for Measure-valued Optimization with Additive
  Objective
A Distributed Algorithm for Measure-valued Optimization with Additive Objective
Iman Nodozi
A. Halder
258
1
0
17 Feb 2022
On the Hyperparameters in Stochastic Gradient Descent with Momentum
On the Hyperparameters in Stochastic Gradient Descent with MomentumJournal of machine learning research (JMLR), 2021
Bin Shi
309
20
0
09 Aug 2021
On Learning Rates and Schrödinger Operators
On Learning Rates and Schrödinger OperatorsJournal of machine learning research (JMLR), 2020
Bin Shi
Weijie J. Su
Sai Li
237
68
0
15 Apr 2020
Reflected Schrödinger Bridge: Density Control with Path Constraints
Reflected Schrödinger Bridge: Density Control with Path ConstraintsAmerican Control Conference (ACC), 2020
Kenneth F. Caluya
A. Halder
229
31
0
31 Mar 2020
Stable Neural Flows
Stable Neural Flows
Stefano Massaroli
Michael Poli
Michelangelo Bin
Jinkyoo Park
Atsushi Yamashita
Hajime Asama
265
39
0
18 Mar 2020
Hopfield Neural Network Flow: A Geometric Viewpoint
Hopfield Neural Network Flow: A Geometric ViewpointIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
A. Halder
Kenneth F. Caluya
Bertrand Travacca
S. Moura
276
18
0
04 Aug 2019
1
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