GB2597406A - Fairness improvement through reinforcement learning - Google Patents

Fairness improvement through reinforcement learning Download PDF

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Publication number
GB2597406A
GB2597406A GB2115858.9A GB202115858A GB2597406A GB 2597406 A GB2597406 A GB 2597406A GB 202115858 A GB202115858 A GB 202115858A GB 2597406 A GB2597406 A GB 2597406A
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mlm
fairness
original
provisional
program instructions
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Inventor
Chaloulos Georgios
Floether Frederik
Graf Florian
Lustenberger Patrick
Ravizza Stefan
Slottke Eric
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International Business Machines Corp
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International Business Machines Corp
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/048—Activation functions
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/092—Reinforcement learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/0985—Hyperparameter optimisation; Meta-learning; Learning-to-learn
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • Mathematical Physics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Acyclic And Carbocyclic Compounds In Medicinal Compositions (AREA)
GB2115858.9A 2019-04-08 2020-03-18 Fairness improvement through reinforcement learning Withdrawn GB2597406A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US16/377,727 US20200320428A1 (en) 2019-04-08 2019-04-08 Fairness improvement through reinforcement learning
PCT/IB2020/052465 WO2020208444A1 (en) 2019-04-08 2020-03-18 Fairness improvement through reinforcement learning

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GB2597406A true GB2597406A (en) 2022-01-26

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US (1) US20200320428A1 (https=)
JP (1) JP2022527536A (https=)
CN (1) CN113692594A (https=)
DE (1) DE112020000537T5 (https=)
GB (1) GB2597406A (https=)
WO (1) WO2020208444A1 (https=)

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US12321826B2 (en) 2020-05-06 2025-06-03 Discover Financial Services System and method for utilizing grouped partial dependence plots and game-theoretic concepts and their extensions in the generation of adverse action reason codes
US11551178B2 (en) * 2020-05-14 2023-01-10 Wells Fargo Bank, N.A. Apparatuses and methods for regulation offending model prevention
US12002258B2 (en) * 2020-06-03 2024-06-04 Discover Financial Services System and method for mitigating bias in classification scores generated by machine learning models
US12469075B2 (en) 2020-06-03 2025-11-11 Capital One Financial Corporation Computing system and method for creating a data science model having reduced bias
CN112163677B (zh) * 2020-10-14 2023-09-19 杭州海康威视数字技术股份有限公司 应用机器学习模型的方法、装置及设备
CN112257848B (zh) * 2020-10-22 2024-04-30 北京灵汐科技有限公司 确定逻辑核布局的方法、模型训练方法、电子设备、介质
US12554805B2 (en) 2020-11-27 2026-02-17 Amazon Technologies, Inc. Generating views for bias metrics and feature attribution captured in machine learning pipelines
US12547926B2 (en) 2020-11-27 2026-02-10 Amazon Technologies, Inc. Staged bias measurements in machine learning pipelines
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US12014287B2 (en) * 2020-12-04 2024-06-18 International Business Machines Corporation Batch scoring model fairness
CN112416602B (zh) * 2020-12-10 2022-09-16 清华大学 一种分布式数据流资源弹性伸缩增强插件及增强方法
CN112905465B (zh) * 2021-02-09 2022-07-22 中国科学院软件研究所 一种基于深度强化学习的机器学习模型黑盒公平性测试方法和系统
US12547673B2 (en) 2021-04-12 2026-02-10 International Business Machines Corporation Calculate fairness of machine learning model
US20220391683A1 (en) * 2021-06-07 2022-12-08 International Business Machines Corporation Bias reduction during artifical intelligence module training
EP4106231A1 (en) * 2021-06-14 2022-12-21 Google LLC Selection of physics-specific model for determination of characteristics of radio frequency signal propagation
US12443676B2 (en) 2021-10-13 2025-10-14 International Business Machines Corporation Controlling a bias of a machine learning module background
US20230222378A1 (en) * 2022-01-07 2023-07-13 Vittorio ROMANIELLO Method and system for evaluating fairness of machine learning model
US20230351172A1 (en) * 2022-04-29 2023-11-02 Intuit Inc. Supervised machine learning method for matching unsupervised data
US12561222B2 (en) * 2022-06-03 2026-02-24 Adobe Inc. Reducing bias in machine learning models utilizing a fairness deviation constraint and decision matrix
CN115048425B (zh) * 2022-06-09 2025-04-11 深圳计算科学研究院 一种基于强化学习的数据筛选方法及其装置
US20240020515A1 (en) * 2022-07-06 2024-01-18 University Of Southern California Systems and methods for a neural network database framework for answering database query types
CN118175048A (zh) * 2022-12-09 2024-06-11 维沃移动通信有限公司 模型监督触发方法、装置、ue、网络侧设备、可读存储介质及通信系统
US12475132B2 (en) 2023-02-20 2025-11-18 Capital One Financial Corporation Computing system and method for applying monte carlo estimation to determine the contribution of dependent input variable groups on the output of a data science model

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Publication number Publication date
WO2020208444A1 (en) 2020-10-15
CN113692594A (zh) 2021-11-23
JP2022527536A (ja) 2022-06-02
DE112020000537T5 (de) 2021-10-21
US20200320428A1 (en) 2020-10-08

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