add initialization heuristic that samples around best points #987
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…torch#987) Summary: Pull Request resolved: meta-pytorch#987 This adds a heuristic for generating initial conditions by adding gaussian noise to the best points (in addition to the standard sobol initial conditions), which improves optimization performance on some benchmark problems (e.g. ZDT1). This is turned off by default currently. Differential Revision: D32548535 fbshipit-source-id: d63e30f805580f7a25a0d949fea45981ff05ef7c
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Codecov Report
@@ Coverage Diff @@
## main #987 +/- ##
=========================================
Coverage 100.00% 100.00%
=========================================
Files 110 110
Lines 8569 8645 +76
=========================================
+ Hits 8569 8645 +76
Continue to review full report at Codecov.
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…torch#987) Summary: Pull Request resolved: meta-pytorch#987 This adds a heuristic for generating initial conditions by adding gaussian noise to the best points (in addition to the standard sobol initial conditions), which improves optimization performance on some benchmark problems (e.g. ZDT1). This is turned off by default currently. Differential Revision: D32548535 fbshipit-source-id: 2a753754c89e5e420ef9d422746d9f4ba2477ce5
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…torch#987) Summary: Pull Request resolved: meta-pytorch#987 This adds a heuristic for generating initial conditions by adding gaussian noise to the best points (in addition to the standard sobol initial conditions), which improves optimization performance on some benchmark problems (e.g. ZDT1). This is turned off by default currently. Differential Revision: D32548535 fbshipit-source-id: 2cf894ef0230a92458613f46c6023f248bdbfd28
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…torch#987) Summary: Pull Request resolved: meta-pytorch#987 This adds a heuristic for generating initial conditions by adding gaussian noise to the best points (in addition to the standard sobol initial conditions), which improves optimization performance on some benchmark problems (e.g. ZDT1). This is turned off by default currently. Differential Revision: D32548535 fbshipit-source-id: 8f7f970d0e035d9b2277b26a5a90c3d1a745dbb7
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…torch#987) Summary: Pull Request resolved: meta-pytorch#987 This adds a heuristic for generating initial conditions by adding gaussian noise to the best points (in addition to the standard sobol initial conditions), which improves optimization performance on some benchmark problems (e.g. ZDT1). This is turned off by default currently. Differential Revision: D32548535 fbshipit-source-id: 36d4d0a493dd8ea5c45f73ac6eebb9250a658342
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…torch#987) Summary: Pull Request resolved: meta-pytorch#987 This adds a heuristic for generating initial conditions by adding gaussian noise to the best points (in addition to the standard sobol initial conditions), which improves optimization performance on some benchmark problems (e.g. ZDT1). This is turned off by default currently. Differential Revision: D32548535 fbshipit-source-id: f1df8950c34fa261f95fc3df28aba0085f3740de
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…torch#987) Summary: Pull Request resolved: meta-pytorch#987 This adds a heuristic for generating initial conditions by adding gaussian noise to the best points (in addition to the standard sobol initial conditions), which improves optimization performance on some benchmark problems (e.g. ZDT1). This is turned off by default currently. Differential Revision: D32548535 fbshipit-source-id: 5c65a294b227cd719bdd36ba579af8cfb701ea92
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…torch#987) Summary: Pull Request resolved: meta-pytorch#987 This adds a heuristic for generating initial conditions by adding gaussian noise to the best points (in addition to the standard sobol initial conditions), which improves optimization performance on some benchmark problems (e.g. ZDT1). This is turned off by default currently. Differential Revision: D32548535 fbshipit-source-id: 903791db2b5ae9d2c3daf880118545bfcac8b4db
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…torch#987) Summary: Pull Request resolved: meta-pytorch#987 This adds a heuristic for generating initial conditions by adding gaussian noise to the best points (in addition to the standard sobol initial conditions), which improves optimization performance on some benchmark problems (e.g. ZDT1). This is turned off by default currently. Differential Revision: D32548535 fbshipit-source-id: a5c3ad5a608fb3ac453e9092d9fc4943a8720a88
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…torch#987) Summary: Pull Request resolved: meta-pytorch#987 This adds a heuristic for generating initial conditions by adding gaussian noise to the best points (in addition to the standard sobol initial conditions), which improves optimization performance on some benchmark problems (e.g. ZDT1). This is turned off by default currently. Differential Revision: D32548535 fbshipit-source-id: 43f1f0cb8ddef807ea88c11ef8c3fcf34c3f50f8
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…torch#987) Summary: Pull Request resolved: meta-pytorch#987 This adds a heuristic for generating initial conditions by adding gaussian noise to the best points (in addition to the standard sobol initial conditions), which improves optimization performance on some benchmark problems (e.g. ZDT1). This is turned off by default currently. Differential Revision: D32548535 fbshipit-source-id: aaa57aa9327a49c0404f53861b1ddc5599c2149e
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…torch#987) Summary: Pull Request resolved: meta-pytorch#987 This adds a heuristic for generating initial conditions by adding gaussian noise to the best points (in addition to the standard sobol initial conditions), which improves optimization performance on some benchmark problems (e.g. ZDT1). This is turned off by default currently. Differential Revision: D32548535 fbshipit-source-id: baffb811be998c4fe9af130ebacfb4a84f16f919
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…torch#987) Summary: Pull Request resolved: meta-pytorch#987 This adds a heuristic for generating initial conditions by adding gaussian noise to the best points (in addition to the standard sobol initial conditions), which improves optimization performance on some benchmark problems (e.g. ZDT1). This is turned off by default currently. Differential Revision: D32548535 fbshipit-source-id: 2a3db4ca05b74bec2d4758d7b2eb2de33671dc20
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…torch#987) Summary: Pull Request resolved: meta-pytorch#987 This adds a heuristic for generating initial conditions by adding gaussian noise to the best points (in addition to the standard sobol initial conditions), which improves optimization performance on some benchmark problems (e.g. ZDT1). This is turned off by default currently. Reviewed By: Balandat Differential Revision: D32548535 fbshipit-source-id: 3c39c7638f789bd6e64f69c81209ade0169a9e6f
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…torch#987) Summary: Pull Request resolved: meta-pytorch#987 This adds a heuristic for generating initial conditions by adding gaussian noise to the best points (in addition to the standard sobol initial conditions), which improves optimization performance on some benchmark problems (e.g. ZDT1). This is turned off by default currently. Reviewed By: Balandat Differential Revision: D32548535 fbshipit-source-id: 6de907a6523e1222c665b34ef01913763e4d43fb
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…torch#987) Summary: Pull Request resolved: meta-pytorch#987 This adds a heuristic for generating initial conditions by adding gaussian noise to the best points (in addition to the standard sobol initial conditions), which improves optimization performance on some benchmark problems (e.g. ZDT1). This is turned off by default currently. Differential Revision: D32548535 fbshipit-source-id: c629f0eb5e87a5e675faa3a9471f1044421c6964
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…torch#987) Summary: Pull Request resolved: meta-pytorch#987 This adds a heuristic for generating initial conditions by adding gaussian noise to the best points (in addition to the standard sobol initial conditions), which improves optimization performance on some benchmark problems (e.g. ZDT1). This is turned off by default currently. Differential Revision: D32548535 fbshipit-source-id: d49648e7dbc9d515fc590172e284519f8018adff
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…torch#987) Summary: Pull Request resolved: meta-pytorch#987 This adds a heuristic for generating initial conditions by adding gaussian noise to the best points (in addition to the standard sobol initial conditions), which improves optimization performance on some benchmark problems (e.g. ZDT1). This is turned off by default currently. Differential Revision: D32548535 fbshipit-source-id: 27c9d8c696f1a931f796021ac640ca3a234d8f7b
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…torch#987) Summary: Pull Request resolved: meta-pytorch#987 This adds a heuristic for generating initial conditions by adding gaussian noise to the best points (in addition to the standard sobol initial conditions), which improves optimization performance on some benchmark problems (e.g. ZDT1). This is turned off by default currently. Reviewed By: Balandat Differential Revision: D32548535 fbshipit-source-id: 548706bc23cd0184708af888d65206de6b23c23b
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Summary:
This adds a heuristic for generating initial conditions by adding gaussian noise to the best points (in addition to the standard sobol initial conditions), which improves optimization performance on some benchmark problems (e.g. ZDT1).
This is turned off by default currently.
Differential Revision: D32548535