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Variational Optimization

Variational Optimization

18 December 2012
J. Staines
David Barber
    DRL
ArXivPDFHTML

Papers citing "Variational Optimization"

11 / 11 papers shown
Title
Locally Orderless Images for Optimization in Differentiable Rendering
Locally Orderless Images for Optimization in Differentiable Rendering
Ishit Mehta
Manmohan Chandraker
Ravi Ramamoorthi
29
0
0
27 Mar 2025
Policy Gradient Algorithms Implicitly Optimize by Continuation
Policy Gradient Algorithms Implicitly Optimize by Continuation
Adrien Bolland
Gilles Louppe
D. Ernst
31
3
0
11 May 2023
Federated Automatic Differentiation
Federated Automatic Differentiation
Keith Rush
Zachary B. Charles
Zachary Garrett
FedML
34
1
0
18 Jan 2023
Gradients are Not All You Need
Gradients are Not All You Need
Luke Metz
C. Freeman
S. Schoenholz
Tal Kachman
28
92
0
10 Nov 2021
Delta-STN: Efficient Bilevel Optimization for Neural Networks using
  Structured Response Jacobians
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians
Juhan Bae
Roger C. Grosse
16
24
0
26 Oct 2020
Quantum Deformed Neural Networks
Quantum Deformed Neural Networks
Roberto Bondesan
Max Welling
AI4CE
15
4
0
21 Oct 2020
Training Binary Neural Networks using the Bayesian Learning Rule
Training Binary Neural Networks using the Bayesian Learning Rule
Xiangming Meng
Roman Bachmann
Mohammad Emtiyaz Khan
BDL
MQ
24
40
0
25 Feb 2020
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using
  Structured Best-Response Functions
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions
M. Mackay
Paul Vicol
Jonathan Lorraine
D. Duvenaud
Roger C. Grosse
23
164
0
07 Mar 2019
Relaxed Quantization for Discretized Neural Networks
Relaxed Quantization for Discretized Neural Networks
Christos Louizos
M. Reisser
Tijmen Blankevoort
E. Gavves
Max Welling
MQ
27
131
0
03 Oct 2018
Stochastic Variational Optimization
Stochastic Variational Optimization
Thomas Bird
Julius Kunze
David Barber
DRL
12
14
0
13 Sep 2018
Backpropagation through the Void: Optimizing control variates for
  black-box gradient estimation
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation
Will Grathwohl
Dami Choi
Yuhuai Wu
Geoffrey Roeder
D. Duvenaud
36
300
0
31 Oct 2017
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