mlsanityData to 7 Oct 2026

Versatile Black-Box Optimization

arXiv 2004.14014 ↗First posted 29 Apr 2020cs.AI cs.NEcited by 22

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Abstract (arXiv)

Choosing automatically the right algorithm using problem descriptors is a classical component of combinatorial optimization. It is also a good tool for making evolutionary algorithms fast, robust and versatile. We present Shiwa, an algorithm good at both discrete and continuous, noisy and noise-free, sequential and parallel, black-box optimization. Our algorithm is experimentally compared to competitors on YABBOB, a BBOB comparable testbed, and on some variants of it, and then validated on several real world testbeds.

Key facts. Cited by 22 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Apr 2020.

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Citing papers per year: 2021: 1; 2022: 4; 2023: 7; 2024: 7; 2025: 3.

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  1. 2024Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Surveycited by 641
  2. 2023LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Compositioncited by 359
  3. 2023AdaMerging: Adaptive Model Merging for Multi-Task Learningcited by 248
  4. 2023Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessmentcited by 227
  5. 2023Parameter Efficient Multi-task Model Fusion with Partial Linearizationcited by 64
  6. 2023LM-Cocktail: Resilient Tuning of Language Models via Model Mergingcited by 44
  7. 2025Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descentcited by 39
  8. 2024Model-Based Diffusion for Trajectory Optimizationcited by 30
  9. 2023ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantizationcited by 18
  10. 2024StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elementscited by 18
  11. 2021Generating Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolutioncited by 10
  12. 2024On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusioncited by 9
10 more
  1. 2024Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learningcited by 9
  2. 2022Tuning Particle Accelerators with Safety Constraints using Bayesian Optimizationcited by 7
  3. 2022Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategiescited by 2
  4. 2022Generating 2D and 3D Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolutioncited by 2
  5. 2024Evolutionary Retrofittingcited by 2
  6. 2023Do the Frankenstein, or how to achieve better out-of-distribution performance with manifold mixing model soupcited by 1
  7. 2024Log-normal Mutations and their Use in Detecting Surreptitious Fake Imagescited by 1
  8. 2025MedForge: Building Medical Foundation Models Like Open Source Software Developmentcited by 1
  9. 2025Exploiting Function-Family Structure in Analog Circuit Optimizationcited by 1
  10. 2022OPTION: OPTImization Algorithm Benchmarking ONtologycited by 0