An Overview of Stochastic Approximation

By Marie Chau, Michael C. Fu. 2015

39 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Information Systems, 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 Management Information Systems

1. Andrea Lodi
2. Yoshua Bengio
3. Matteo Fischetti
4. Timo Berthold
5. Jason Jo

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): “in principle 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 evaluat”