How to Fix Expensive Evolutionary Optimization with LowFidelity Guidance and Robust TrustRegion Methods
#AI #MachineLearning #TechBlog
#AI #MachineLearning #TechBlog
How to Fix Expensive Evolutionary Optimization with LowFidelity Guidance and Robust TrustRegion Methods
TL;DR: Combine teacher‑guided low‑fidelity fitness proxies, constrained evolutionary hardening, and a trust‑region SQP backbone to cut evaluation cost
thelooplet.com
September 28, 2026 at 8:12 AM
How to Fix Expensive Evolutionary Optimization with LowFidelity Guidance and Robust TrustRegion Methods
#AI #MachineLearning #TechBlog
#AI #MachineLearning #TechBlog
Edith Hermida habló tras su renuncia a El Club Del Moro en medio de rumores de mala relación con Majo Lozano y Costa
Edith Hermida habló tras su renuncia a El Club Del Moro en medio de rumores de mala relación con Majo Lozano y Costa
Antes de debutar en MasterChef Celebrity, la conductora explicó en SQP que dejó la radio por incompatibilidad de agendas y destacó el vínculo profesional que mantuvo durante casi tres años con el equipo
dlvr.it
September 23, 2026 at 1:25 AM
Edith Hermida habló tras su renuncia a El Club Del Moro en medio de rumores de mala relación con Majo Lozano y Costa
Carmen Barbieri habló de su romance con Porcel y las acusaciones de Georgina Barbarossa: “Viví con un monstruo y no lo sabía”
Carmen Barbieri habló de su romance con Porcel y las acusaciones de Georgina Barbarossa: “Viví con un monstruo y no lo sabía”
La conductora afirmó en SQP que las denuncias de otras mujeres la llevaron a cuestionar su mirada sobre los años que compartió con el humorista
dlvr.it
September 17, 2026 at 12:00 AM
Carmen Barbieri habló de su romance con Porcel y las acusaciones de Georgina Barbarossa: “Viví con un monstruo y no lo sabía”
Georgina Barbarossa recordó el acoso que sufrió de Jorge Porcel: “Que Dios lo tenga en un tacho de mierda y no lo largue”
Georgina Barbarossa recordó el acoso que sufrió de Jorge Porcel: “Que Dios lo tenga en un tacho de mierda y no lo largue”
La actriz y conductora recordó en SQP las desagradables situaciones que vivió con el capocómico durante sus primeros trabajos en TV
dlvr.it
September 16, 2026 at 1:42 AM
Georgina Barbarossa recordó el acoso que sufrió de Jorge Porcel: “Que Dios lo tenga en un tacho de mierda y no lo largue”
Bereket Sitotaw Kidane, Md Samiul Haque Motayed, Shuo Wang
Optimal chemo-immunotherapy scheduling: A hybrid QPSO-SQP approach with Michaelis-Menten pharmacodynamics
https://arxiv.org/abs/2609.11213
Optimal chemo-immunotherapy scheduling: A hybrid QPSO-SQP approach with Michaelis-Menten pharmacodynamics
https://arxiv.org/abs/2609.11213
September 11, 2026 at 5:18 PM
Bereket Sitotaw Kidane, Md Samiul Haque Motayed, Shuo Wang
Optimal chemo-immunotherapy scheduling: A hybrid QPSO-SQP approach with Michaelis-Menten pharmacodynamics
https://arxiv.org/abs/2609.11213
Optimal chemo-immunotherapy scheduling: A hybrid QPSO-SQP approach with Michaelis-Menten pharmacodynamics
https://arxiv.org/abs/2609.11213
📚 New Arxiv Paper
Title: Optimal chemo-immunotherapy scheduling: A hybrid QPSO-SQP approach with Michaelis-Menten pharmacodynamics
Authors: Bereket Sitotaw Kidane, Md Samiul Haque Motayed, Shuo Wang
Read more: https://arxiv.org/abs/2609.11213
Title: Optimal chemo-immunotherapy scheduling: A hybrid QPSO-SQP approach with Michaelis-Menten pharmacodynamics
Authors: Bereket Sitotaw Kidane, Md Samiul Haque Motayed, Shuo Wang
Read more: https://arxiv.org/abs/2609.11213
September 11, 2026 at 8:02 AM
📚 New Arxiv Paper
Title: Optimal chemo-immunotherapy scheduling: A hybrid QPSO-SQP approach with Michaelis-Menten pharmacodynamics
Authors: Bereket Sitotaw Kidane, Md Samiul Haque Motayed, Shuo Wang
Read more: https://arxiv.org/abs/2609.11213
Title: Optimal chemo-immunotherapy scheduling: A hybrid QPSO-SQP approach with Michaelis-Menten pharmacodynamics
Authors: Bereket Sitotaw Kidane, Md Samiul Haque Motayed, Shuo Wang
Read more: https://arxiv.org/abs/2609.11213
Bereket Sitotaw Kidane, Md Samiul Haque Motayed, Shuo Wang: Optimal chemo-immunotherapy scheduling: A hybrid QPSO-SQP approach with Michaelis-Menten pharmacodynamics https://arxiv.org/abs/2609.11213 https://arxiv.org/pdf/2609.11213 https://arxiv.org/html/2609.11213
September 11, 2026 at 6:50 AM
Bereket Sitotaw Kidane, Md Samiul Haque Motayed, Shuo Wang: Optimal chemo-immunotherapy scheduling: A hybrid QPSO-SQP approach with Michaelis-Menten pharmacodynamics https://arxiv.org/abs/2609.11213 https://arxiv.org/pdf/2609.11213 https://arxiv.org/html/2609.11213
Happy user? Sponsor Uno: github.com/sponsors/cva...
Sponsor @cvanaret on GitHub Sponsors
Support the development of the open-source optimization solver Uno. Uno is a unified SQP & barrier solver for nonlinearly constrained optimization, available in C, C++, Julia, Python and Fortran
github.com
September 10, 2026 at 8:57 PM
Happy user? Sponsor Uno: github.com/sponsors/cva...
🤖📋 Can AI become a survey methodologist?
At our #GESISsummerschool, @lydiarepke.bsky.social explored how AI can support questionnaire evaluation and help design better questions – without replacing survey methodologists.
👉 Read more about The Algorithm Behind SQP 3.0: sqp.gesis.org 👇
At our #GESISsummerschool, @lydiarepke.bsky.social explored how AI can support questionnaire evaluation and help design better questions – without replacing survey methodologists.
👉 Read more about The Algorithm Behind SQP 3.0: sqp.gesis.org 👇
𝗧𝗵𝗲 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺 𝗕𝗲𝗵𝗶𝗻𝗱 𝗦𝗤𝗣 𝟯.𝟬 https://sqp.gesis.org/
𝗖𝗮𝗻 𝘄𝗲 𝗽𝗿𝗲𝗱𝗶𝗰𝘁 𝗵𝗼𝘄 𝘄𝗲𝗹𝗹 𝗮 𝘀𝘂𝗿𝘃𝗲𝘆 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝘄𝗶𝗹𝗹 𝗺𝗲𝗮𝘀𝘂𝗿𝗲 𝘄𝗵𝗮𝘁 𝗶𝘁 𝗶𝘀 𝘀𝘂𝗽𝗽𝗼𝘀𝗲𝗱 𝘁𝗼 𝗺𝗲𝗮𝘀𝘂𝗿𝗲 𝙗𝙚𝙛𝙤𝙧𝙚 𝘄𝗲 𝗲𝘃𝗲𝗻 𝗰𝗼𝗹𝗹𝗲𝗰𝘁 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮?
𝗖𝗮𝗻 𝘄𝗲 𝗽𝗿𝗲𝗱𝗶𝗰𝘁 𝗵𝗼𝘄 𝘄𝗲𝗹𝗹 𝗮 𝘀𝘂𝗿𝘃𝗲𝘆 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝘄𝗶𝗹𝗹 𝗺𝗲𝗮𝘀𝘂𝗿𝗲 𝘄𝗵𝗮𝘁 𝗶𝘁 𝗶𝘀 𝘀𝘂𝗽𝗽𝗼𝘀𝗲𝗱 𝘁𝗼 𝗺𝗲𝗮𝘀𝘂𝗿𝗲 𝙗𝙚𝙛𝙤𝙧𝙚 𝘄𝗲 𝗲𝘃𝗲𝗻 𝗰𝗼𝗹𝗹𝗲𝗰𝘁 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮?
September 9, 2026 at 11:17 AM
🤖📋 Can AI become a survey methodologist?
At our #GESISsummerschool, @lydiarepke.bsky.social explored how AI can support questionnaire evaluation and help design better questions – without replacing survey methodologists.
👉 Read more about The Algorithm Behind SQP 3.0: sqp.gesis.org 👇
At our #GESISsummerschool, @lydiarepke.bsky.social explored how AI can support questionnaire evaluation and help design better questions – without replacing survey methodologists.
👉 Read more about The Algorithm Behind SQP 3.0: sqp.gesis.org 👇
Impactante revelación de Yanina Latorre: el mensaje de una prostituta que sacudió a La Joaqui tras su ruptura con Luck Ra
Impactante revelación de Yanina Latorre: el mensaje de una prostituta que sacudió a La Joaqui tras su ruptura con Luck Ra
La conductora de SQP contó que la cantante recibió un testimonio inesperado y con detalles íntimos sobre el viaje del cordobés a Ibiza antes su separación
dlvr.it
September 9, 2026 at 12:11 AM
Impactante revelación de Yanina Latorre: el mensaje de una prostituta que sacudió a La Joaqui tras su ruptura con Luck Ra
How much can we know about a survey question’s quality before collecting the data?
Quite a lot. The SQP algorithm uses question characteristics & thousands of MTMM experiments to predict measurement quality. But theory, pretesting & validation remain essential to establish what a question measures.
Quite a lot. The SQP algorithm uses question characteristics & thousands of MTMM experiments to predict measurement quality. But theory, pretesting & validation remain essential to establish what a question measures.
𝗧𝗵𝗲 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺 𝗕𝗲𝗵𝗶𝗻𝗱 𝗦𝗤𝗣 𝟯.𝟬 https://sqp.gesis.org/
𝗖𝗮𝗻 𝘄𝗲 𝗽𝗿𝗲𝗱𝗶𝗰𝘁 𝗵𝗼𝘄 𝘄𝗲𝗹𝗹 𝗮 𝘀𝘂𝗿𝘃𝗲𝘆 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝘄𝗶𝗹𝗹 𝗺𝗲𝗮𝘀𝘂𝗿𝗲 𝘄𝗵𝗮𝘁 𝗶𝘁 𝗶𝘀 𝘀𝘂𝗽𝗽𝗼𝘀𝗲𝗱 𝘁𝗼 𝗺𝗲𝗮𝘀𝘂𝗿𝗲 𝙗𝙚𝙛𝙤𝙧𝙚 𝘄𝗲 𝗲𝘃𝗲𝗻 𝗰𝗼𝗹𝗹𝗲𝗰𝘁 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮?
𝗖𝗮𝗻 𝘄𝗲 𝗽𝗿𝗲𝗱𝗶𝗰𝘁 𝗵𝗼𝘄 𝘄𝗲𝗹𝗹 𝗮 𝘀𝘂𝗿𝘃𝗲𝘆 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝘄𝗶𝗹𝗹 𝗺𝗲𝗮𝘀𝘂𝗿𝗲 𝘄𝗵𝗮𝘁 𝗶𝘁 𝗶𝘀 𝘀𝘂𝗽𝗽𝗼𝘀𝗲𝗱 𝘁𝗼 𝗺𝗲𝗮𝘀𝘂𝗿𝗲 𝙗𝙚𝙛𝙤𝙧𝙚 𝘄𝗲 𝗲𝘃𝗲𝗻 𝗰𝗼𝗹𝗹𝗲𝗰𝘁 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮?
September 7, 2026 at 9:52 AM
How much can we know about a survey question’s quality before collecting the data?
Quite a lot. The SQP algorithm uses question characteristics & thousands of MTMM experiments to predict measurement quality. But theory, pretesting & validation remain essential to establish what a question measures.
Quite a lot. The SQP algorithm uses question characteristics & thousands of MTMM experiments to predict measurement quality. But theory, pretesting & validation remain essential to establish what a question measures.
SQP predicts quality before data collection based on question characteristics and MTMM experiments.
But whether we chose the right construct, only theory, pretesting & validation can tell. Think of SQP as a navigation system: it helps find a good route, but we still need to know where we’re going.
But whether we chose the right construct, only theory, pretesting & validation can tell. Think of SQP as a navigation system: it helps find a good route, but we still need to know where we’re going.
September 7, 2026 at 8:52 AM
SQP predicts quality before data collection based on question characteristics and MTMM experiments.
But whether we chose the right construct, only theory, pretesting & validation can tell. Think of SQP as a navigation system: it helps find a good route, but we still need to know where we’re going.
But whether we chose the right construct, only theory, pretesting & validation can tell. Think of SQP as a navigation system: it helps find a good route, but we still need to know where we’re going.
🔹 LASSO
🔹 Elastic Net
🔹 Boosting
🔹 Random Forest
And the winner? Random Forest.
It is now the prediction algorithm implemented in SQP 3.0.
🔹 Elastic Net
🔹 Boosting
🔹 Random Forest
And the winner? Random Forest.
It is now the prediction algorithm implemented in SQP 3.0.
September 7, 2026 at 8:00 AM
🔹 LASSO
🔹 Elastic Net
🔹 Boosting
🔹 Random Forest
And the winner? Random Forest.
It is now the prediction algorithm implemented in SQP 3.0.
🔹 Elastic Net
🔹 Boosting
🔹 Random Forest
And the winner? Random Forest.
It is now the prediction algorithm implemented in SQP 3.0.
With the release of SQP 3.0, the database had grown substantially. That meant it was time to rethink the statistical model behind the predictions. Barbara Felderer, Lydia Repke, Wiebke Weber, Jonas Schweisthal, and Ludwig Bothmann, compared four machine-learning approaches:
September 7, 2026 at 8:00 AM
With the release of SQP 3.0, the database had grown substantially. That meant it was time to rethink the statistical model behind the predictions. Barbara Felderer, Lydia Repke, Wiebke Weber, Jonas Schweisthal, and Ludwig Bothmann, compared four machine-learning approaches:
The idea behind SQP is to use the formal and linguistic characteristics of a survey question—such as its response scale, wording, or the number of response categories—to predict its reliability and validity.
September 7, 2026 at 8:00 AM
The idea behind SQP is to use the formal and linguistic characteristics of a survey question—such as its response scale, wording, or the number of response categories—to predict its reliability and validity.
𝗧𝗵𝗲 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺 𝗕𝗲𝗵𝗶𝗻𝗱 𝗦𝗤𝗣 𝟯.𝟬 https://sqp.gesis.org/
𝗖𝗮𝗻 𝘄𝗲 𝗽𝗿𝗲𝗱𝗶𝗰𝘁 𝗵𝗼𝘄 𝘄𝗲𝗹𝗹 𝗮 𝘀𝘂𝗿𝘃𝗲𝘆 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝘄𝗶𝗹𝗹 𝗺𝗲𝗮𝘀𝘂𝗿𝗲 𝘄𝗵𝗮𝘁 𝗶𝘁 𝗶𝘀 𝘀𝘂𝗽𝗽𝗼𝘀𝗲𝗱 𝘁𝗼 𝗺𝗲𝗮𝘀𝘂𝗿𝗲 𝙗𝙚𝙛𝙤𝙧𝙚 𝘄𝗲 𝗲𝘃𝗲𝗻 𝗰𝗼𝗹𝗹𝗲𝗰𝘁 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮?
𝗖𝗮𝗻 𝘄𝗲 𝗽𝗿𝗲𝗱𝗶𝗰𝘁 𝗵𝗼𝘄 𝘄𝗲𝗹𝗹 𝗮 𝘀𝘂𝗿𝘃𝗲𝘆 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝘄𝗶𝗹𝗹 𝗺𝗲𝗮𝘀𝘂𝗿𝗲 𝘄𝗵𝗮𝘁 𝗶𝘁 𝗶𝘀 𝘀𝘂𝗽𝗽𝗼𝘀𝗲𝗱 𝘁𝗼 𝗺𝗲𝗮𝘀𝘂𝗿𝗲 𝙗𝙚𝙛𝙤𝙧𝙚 𝘄𝗲 𝗲𝘃𝗲𝗻 𝗰𝗼𝗹𝗹𝗲𝗰𝘁 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮?
September 7, 2026 at 8:00 AM
𝗧𝗵𝗲 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺 𝗕𝗲𝗵𝗶𝗻𝗱 𝗦𝗤𝗣 𝟯.𝟬 https://sqp.gesis.org/
𝗖𝗮𝗻 𝘄𝗲 𝗽𝗿𝗲𝗱𝗶𝗰𝘁 𝗵𝗼𝘄 𝘄𝗲𝗹𝗹 𝗮 𝘀𝘂𝗿𝘃𝗲𝘆 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝘄𝗶𝗹𝗹 𝗺𝗲𝗮𝘀𝘂𝗿𝗲 𝘄𝗵𝗮𝘁 𝗶𝘁 𝗶𝘀 𝘀𝘂𝗽𝗽𝗼𝘀𝗲𝗱 𝘁𝗼 𝗺𝗲𝗮𝘀𝘂𝗿𝗲 𝙗𝙚𝙛𝙤𝙧𝙚 𝘄𝗲 𝗲𝘃𝗲𝗻 𝗰𝗼𝗹𝗹𝗲𝗰𝘁 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮?
𝗖𝗮𝗻 𝘄𝗲 𝗽𝗿𝗲𝗱𝗶𝗰𝘁 𝗵𝗼𝘄 𝘄𝗲𝗹𝗹 𝗮 𝘀𝘂𝗿𝘃𝗲𝘆 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝘄𝗶𝗹𝗹 𝗺𝗲𝗮𝘀𝘂𝗿𝗲 𝘄𝗵𝗮𝘁 𝗶𝘁 𝗶𝘀 𝘀𝘂𝗽𝗽𝗼𝘀𝗲𝗱 𝘁𝗼 𝗺𝗲𝗮𝘀𝘂𝗿𝗲 𝙗𝙚𝙛𝙤𝙧𝙚 𝘄𝗲 𝗲𝘃𝗲𝗻 𝗰𝗼𝗹𝗹𝗲𝗰𝘁 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮?