25,161
edits
Changes
no edit summary
* [http://www.talkchess.com/forum3/viewtopic.php?f=2&t=76024 Laskas parameter optimizer] by [[Ferdinand Mosca]], [[CCC]], December 09, 2020
'''2021'''
* [https://www.talkchess.com/forum3/viewtopic.php?f=2&t=76205&start=14 Re: Wasp 4.5 Released] by [[John Stanback]], [[CCC]], January 03, 2021 » [[Wasp]]
* [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=76227 How to calc the derivative for gradient descent?] by Brian Neal, [[CCC]], January 04, 2021
* [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=76238 Help with Texel's tuning] by [[Maksim Korzh]], [[CCC]], January 05, 2021 » [[Texel's Tuning Method]]
* [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=77420 A hybrid of SPSA and local optimization] by [[Niels Abildskov]], [[CCC]], June 01, 2021 » [[SPSA]], [[Texel's Tuning Method]]
* [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=77715 Just an untested idea] by [[Ed Schroder|Ed Schröder]], [[CCC]], July 12, 2021 » [[Piece-Square Tables]]
* [https://www.talkchess.com/forum3/viewtopic.php?f=7&t=78896 Tuning Search Parameters] by [[Jeremy Wright]], [[CCC]], December 16, 2021
* [https://www.talkchess.com/forum3/viewtopic.php?f=7&t=78958 Eval tuning data] by gaard, [[CCC]], December 22, 2021
'''2022'''
* [https://www.talkchess.com/forum3/viewtopic.php?f=7&t=79301 SGD basics] by [[Michael Hoffmann|Desperado]], [[CCC]], February 06, 2022 » [[Automated Tuning#SGD|SGD]]
* [https://www.talkchess.com/forum3/viewtopic.php?f=7&t=79049&start=127 Re: Devlog of Leorik - A.k.a. how to tune high-quality PSTs from scratch (material values) in 20 seconds] by [[Thomas Jahn]], [[CCC]], March 28, 2022 » [[Piece-Square Tables]], [[Leorik]]
=External Links=
: [https://www.jhuapl.edu/spsa/ SPSA Algorithm]
: [https://en.wikipedia.org/wiki/Stochastic_approximation Stochastic approximation from Wikipedia]
: <span id="SGD"></span>[https://en.wikipedia.org/wiki/Stochastic_gradient_descent Stochastic gradient descent from Wikipedia](SGD)
: [https://en.wikipedia.org/wiki/Stochastic_gradient_descent#AdaGrad AdaGrad from Wikipedia]
==Machine Learning==
