Model-Based Stochastic Search Methods

By Jiaqiao Hu. 2015

17 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Optimization & Training

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Simon Lacoste-Julien
2. Yoshua Bengio
3. Andrea Lodi
4. Sébastien Lachapelle
5. Peter Richtárik
6. Martin Jaggi
7. Emma Frejinger
8. Pascal Vincent

In Computational Theory and Mathematics

1. Sébastien Lachapelle
2. Simon Lacoste-Julien
3. Andrea Lodi
4. Yoshua Bengio
5. Eric Larsen
6. Emma Frejinger
7. Peter Richtárik
8. Zeyuan Allen-Zhu

In Management Science and Operations Research

1. Yoshua Bengio
2. Sébastien Lachapelle
3. Simon Lacoste-Julien
4. Andrea Lodi
5. Eric Larsen
6. Emma Frejinger

In Optimization & Training

1. Simon Lacoste-Julien
2. Sébastien Lachapelle
3. Yoshua Bengio
4. Andrea Lodi
5. Eric Larsen
6. Emma Frejinger
7. Fabian Pedregosa
8. Peter Richtárik

Citations in the corpus

• Predicting Tactical Solutions to Operational Planning Problems under Imperfect Information (2018, background): “…available to solve (1) and (2) include response surface methods (internal) (Kleijnen, 2015), stochastic search (internal) (Andradóttir, 2015, Hu, 2015, Zabinsky, 2015) and versions of stochastic approximation (internal) where knowledge of (2) is limited to the ability to perform evaluations…”