JP2022527536A - 強化学習を通じた公平性の改善 - Google Patents
強化学習を通じた公平性の改善 Download PDFInfo
- Publication number
- JP2022527536A JP2022527536A JP2021558964A JP2021558964A JP2022527536A JP 2022527536 A JP2022527536 A JP 2022527536A JP 2021558964 A JP2021558964 A JP 2021558964A JP 2021558964 A JP2021558964 A JP 2021558964A JP 2022527536 A JP2022527536 A JP 2022527536A
- Authority
- JP
- Japan
- Prior art keywords
- fairness
- mlm
- value
- initial
- provisional
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
Landscapes
- 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)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US16/377,727 US20200320428A1 (en) | 2019-04-08 | 2019-04-08 | Fairness improvement through reinforcement learning |
| US16/377,727 | 2019-04-08 | ||
| PCT/IB2020/052465 WO2020208444A1 (en) | 2019-04-08 | 2020-03-18 | Fairness improvement through reinforcement learning |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2022527536A true JP2022527536A (ja) | 2022-06-02 |
| JP2022527536A5 JP2022527536A5 (https=) | 2022-08-18 |
| JPWO2020208444A5 JPWO2020208444A5 (https=) | 2022-08-18 |
Family
ID=72663093
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2021558964A Pending JP2022527536A (ja) | 2019-04-08 | 2020-03-18 | 強化学習を通じた公平性の改善 |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US20200320428A1 (https=) |
| JP (1) | JP2022527536A (https=) |
| CN (1) | CN113692594A (https=) |
| DE (1) | DE112020000537T5 (https=) |
| GB (1) | GB2597406A (https=) |
| WO (1) | WO2020208444A1 (https=) |
Families Citing this family (28)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11984199B2 (en) * | 2019-08-02 | 2024-05-14 | Kpn Innovations, Llc | Methods and systems for generating compatible substance instruction sets using artificial intelligence |
| US11636386B2 (en) * | 2019-11-21 | 2023-04-25 | International Business Machines Corporation | Determining data representative of bias within a model |
| US20210201400A1 (en) * | 2019-12-27 | 2021-07-01 | Lendingclub Corporation | Intelligent servicing |
| US11556826B2 (en) * | 2020-03-20 | 2023-01-17 | Adobe Inc. | Generating hyper-parameters for machine learning models using modified Bayesian optimization based on accuracy and training efficiency |
| US12050975B2 (en) | 2020-05-06 | 2024-07-30 | Discover Financial Services | System and method for utilizing grouped partial dependence plots and shapley additive explanations in the generation of adverse action reason codes |
| 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 |
| WO2022115402A1 (en) * | 2020-11-27 | 2022-06-02 | Amazon Technologies, Inc. | Staged bias measurements in machine learning pipelines |
| 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 |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009237923A (ja) * | 2008-03-27 | 2009-10-15 | Nec Corp | 学習方法およびシステム |
| WO2016151618A1 (ja) * | 2015-03-23 | 2016-09-29 | 日本電気株式会社 | 予測モデル更新システム、予測モデル更新方法および予測モデル更新プログラム |
| US20180240011A1 (en) * | 2017-02-22 | 2018-08-23 | Cisco Technology, Inc. | Distributed machine learning |
| JP2018181184A (ja) * | 2017-04-20 | 2018-11-15 | オムロン株式会社 | 評価装置、評価方法及びそのプログラム |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9008840B1 (en) | 2013-04-19 | 2015-04-14 | Brain Corporation | Apparatus and methods for reinforcement-guided supervised learning |
| US10839302B2 (en) | 2015-11-24 | 2020-11-17 | The Research Foundation For The State University Of New York | Approximate value iteration with complex returns by bounding |
| US20180341851A1 (en) * | 2017-05-24 | 2018-11-29 | International Business Machines Corporation | Tuning of a machine learning system |
| US11176487B2 (en) * | 2017-09-28 | 2021-11-16 | Oracle International Corporation | Gradient-based auto-tuning for machine learning and deep learning models |
| CN108062587A (zh) * | 2017-12-15 | 2018-05-22 | 清华大学 | 一种无监督机器学习的超参数自动优化方法及系统 |
| CN109242105B (zh) * | 2018-08-17 | 2024-03-15 | 第四范式(北京)技术有限公司 | 代码优化方法、装置、设备及介质 |
-
2019
- 2019-04-08 US US16/377,727 patent/US20200320428A1/en not_active Abandoned
-
2020
- 2020-03-18 WO PCT/IB2020/052465 patent/WO2020208444A1/en not_active Ceased
- 2020-03-18 CN CN202080027018.4A patent/CN113692594A/zh active Pending
- 2020-03-18 DE DE112020000537.2T patent/DE112020000537T5/de not_active Withdrawn
- 2020-03-18 JP JP2021558964A patent/JP2022527536A/ja active Pending
- 2020-03-18 GB GB2115858.9A patent/GB2597406A/en not_active Withdrawn
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009237923A (ja) * | 2008-03-27 | 2009-10-15 | Nec Corp | 学習方法およびシステム |
| WO2016151618A1 (ja) * | 2015-03-23 | 2016-09-29 | 日本電気株式会社 | 予測モデル更新システム、予測モデル更新方法および予測モデル更新プログラム |
| US20180240011A1 (en) * | 2017-02-22 | 2018-08-23 | Cisco Technology, Inc. | Distributed machine learning |
| JP2018181184A (ja) * | 2017-04-20 | 2018-11-15 | オムロン株式会社 | 評価装置、評価方法及びそのプログラム |
Non-Patent Citations (1)
| Title |
|---|
| 神嶌敏弘、小宮山純平: "機械学習・データマイニングにおける公平性", 人工知能, vol. 第34巻、 第2号, JPN6023034241, 1 March 2019 (2019-03-01), pages 196 - 204, ISSN: 0005139203 * |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2020208444A1 (en) | 2020-10-15 |
| CN113692594A (zh) | 2021-11-23 |
| GB2597406A (en) | 2022-01-26 |
| DE112020000537T5 (de) | 2021-10-21 |
| US20200320428A1 (en) | 2020-10-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP2022527536A (ja) | 強化学習を通じた公平性の改善 | |
| JP7521107B2 (ja) | Aiモデルを更新する方法、装置、および計算デバイス、ならびに記憶媒体 | |
| EP3867827B1 (en) | Mini-machine learning | |
| Alloghani et al. | Implementation of machine learning algorithms to create diabetic patient re-admission profiles | |
| AlShourbaji et al. | An efficient churn prediction model using gradient boosting machine and metaheuristic optimization | |
| Chopra et al. | Introduction to machine learning with Python | |
| US11429899B2 (en) | Data model processing in machine learning using a reduced set of features | |
| US20210303970A1 (en) | Processing data using multiple neural networks | |
| US12277127B2 (en) | Task and process mining by robotic process automations across a computing environment | |
| Tiwari | A hybrid feature selection method using an improved binary butterfly optimization algorithm and adaptive β–hill climbing | |
| EP4718332A1 (en) | Online test method and apparatus | |
| US20250378383A1 (en) | Agent query techniques for multi-agent simulator platform | |
| US12386488B2 (en) | Apparatus and methods for model selection between a first model and a second model using projector inferencing | |
| Li | Application of Machine learning and data mining in Medicine: Opportunities and considerations | |
| US20250217452A1 (en) | Apparatus and methods for determining a probability datum | |
| US20240152440A1 (en) | Game performance prediction across a device ecosystem | |
| US20240428573A1 (en) | Training a Classifier Model Relating to a Concept and Image Ratings Provided by a User | |
| Lamsaf et al. | Causal-SHAP: Feature Selection with Explainability and Causal Analysis | |
| CN121753046A (zh) | 使用集成来预测视频的下一帧 | |
| US20240028902A1 (en) | Learning apparatus and method | |
| Locke et al. | Mitigating bias through random activation function selection | |
| Vasquez-Iglesias et al. | Aquila Optimizer for hyperparameter metaheuristic optimization in ELM | |
| Nguemkam Tebou et al. | Hybrid Method to Explain Predictions of Stacking Ensemble Model | |
| US12589311B2 (en) | Performance prediction for virtualized gaming applications | |
| JP7851363B2 (ja) | 仮想化ゲームアプリケーションのパフォーマンス予測 |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| RD04 | Notification of resignation of power of attorney |
Free format text: JAPANESE INTERMEDIATE CODE: A7424 Effective date: 20220512 |
|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20220808 |
|
| A621 | Written request for application examination |
Free format text: JAPANESE INTERMEDIATE CODE: A621 Effective date: 20220824 |
|
| A977 | Report on retrieval |
Free format text: JAPANESE INTERMEDIATE CODE: A971007 Effective date: 20230725 |
|
| A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20230829 |
|
| A02 | Decision of refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A02 Effective date: 20240319 |