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公开(公告)号：US20230229943A1
公开(公告)日：2023-07-20
申请号：US18125193
申请日：2023-03-23
Applicant: international Business Machines Corporation
Inventor： Manish Bhide , Pranay Lohia , Karthikeyan Natesan Ramamurthy , Ruchir Puri , Diptikalyan Saha , Kush Raj Varshney
Abstract: A post-processing method, system, and computer program product for post-hoc improvement of instance-level and group-level prediction metrics, including training a bias detector on a payload data that learns to detect a sample in a customer model that has an individual bias greater than a predetermined individual bias threshold value with constraints on a group bias, suggesting, in the run-time, a de-biased prediction based on the selected biased sample by a de-biasing procedure, and an arbiter decides based on user feedback whether to use the de-biased prediction or an original prediction made prior to the de-biasing procedure from the customer model which is then used as an output.
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公开(公告)号：US11443236B2
公开(公告)日：2022-09-13
申请号：US16692974
申请日：2019-11-22
Applicant: International Business Machines Corporation
Inventor： Karthikeyan Natesan Ramamurthy , Amanda Coston , Dennis Wei , Kush Raj Varshney , Skyler Speakman , Zairah Mustahsan , Supriyo Chakraborty
IPC: G06N20/00
Abstract: A method of utilizing a computing device to correct source data used in machine learning includes receiving, by the computing device, first data. The computing device corrects the source data via an application of a covariate shift to the source data based upon the first data where the covariate shift re-weighs the source data.
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公开(公告)号：US20220180254A1
公开(公告)日：2022-06-09
申请号：US17115489
申请日：2020-12-08
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Kartik Ahuja , Karthikeyan Shanmugam , Kush Raj Varshney , Amit Dhurandhar
Abstract: A method, computer system, and a computer program product for invariant risk minimization games is provided. The present invention may include defining a plurality of environment-specific classifiers corresponding to a plurality of environments. The present invention may also include constructing an ensemble classifier associated with the plurality of environment-specific classifiers. The present invention may further include initiating a game including a plurality of players corresponding to the plurality of environments. The present invention may also include calculating a nash equilibrium of the initiated game. The present invention may further include determining an ensemble predictor based on the calculated nash equilibrium. The present invention may include deploying the determined ensemble predictor associated with the calculated nash equilibrium to make predictions in a new environment.
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公开(公告)号：US20180350114A1
公开(公告)日：2018-12-06
申请号：US15609586
申请日：2017-05-31
Applicant: International Business Machines Corporation
Inventor： Flavio du Pin Calmon , Kush Raj Varshney
CPC classification number: G06T11/206 , G06Q10/0639 , G06Q20/102 , G06Q20/108 , G06Q20/223 , G06Q20/227 , G06Q20/38 , G06Q40/06 , G06Q50/01
Abstract: Techniques facilitating using a distribution system for incentivizing and accelerating data driven scientific research are described herein. The distribution system can track the input of various parties involved in scientific research, and when a reward, monetary or otherwise, is realized for one or more outcomes of the scientific research, the distribution system can distribute the reward among the parties that provided the input. The relative levels and contributions of the parties can be tracked to ensure that an equitable portioning of the reward is realized. A directed graph can be formed based on the transactions, wherein the nodes correspond to entities, researchers, publications, and the edges correspond to relationships between the entities. The directed graph can be analyzed to determine the relative or absolute levels of contributions from each of the entities, and the rewards can be distributed based on the contribution levels.
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公开(公告)号：US11915131B2
公开(公告)日：2024-02-27
申请号：US17101019
申请日：2020-11-23
Applicant: International Business Machines Corporation
Inventor： Kartik Ahuja , Amit Dhurandhar , Karthikeyan Shanmugam , Kush Raj Varshney
CPC classification number: G06N3/08 , G06N3/047 , G06N3/084 , G06N7/00 , G06N20/00 , G06F9/3836 , G06F17/16 , G06F18/214
Abstract: In an approach to improve the efficiency of solving problem instances by utilizing a machine learning model to solve a sequential optimization problem. Embodiments of the present invention receive a sequential optimization problem for solving and utilize a random initialization to solve a first instance of the sequential optimization problem. Embodiments of the present invention learning, by a computing device a machine learning model, based on a previously stored solution to the first instance of the sequential optimization problem. Additionally, embodiments of the present invention generate, by the machine learning model, one or more subsequent approximate solutions to the sequential optimization problem; and output, by a user interface on the computing device, the one or more subsequent approximate solutions to the sequential optimization problem.
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Patent Agency Ranking
公开(公告)号：US11520830B2
公开(公告)日：2022-12-06
申请号：US16244447
申请日：2019-01-10
Applicant: International Business Machines Corporation
IPC: G06F16/903 , G06F16/901
Abstract: Techniques for generating and searching semantic flow graphs are provided that include creating, by a system operatively coupled to a processor employing a semantic flow graph creation process, a semantic flow graph based on an ontology associated with a set of subjects and a raw flow graph determined from an analysis of a data set relating to the set of subjects and searching, by the system, the semantic flow graph to determine a subset of information of the semantic flow graph that is responsive to a query based on the query and information of the semantic flow graph.
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公开(公告)号：US20210158204A1
公开(公告)日：2021-05-27
申请号：US16692974
申请日：2019-11-22
Applicant: International Business Machines Corporation
Inventor： Karthikeyan Natesan Ramamurthy , Amanda Coston , Dennis Wei , Kush Raj Varshney , Skyler Speakman , Zairah Mustahsan , Supriyo Chakraborty
IPC: G06N20/00
Abstract: A method of utilizing a computing device to correct source data used in machine learning includes receiving, by the computing device, first data. The computing device corrects the source data via an application of a covariate shift to the source data based upon the first data where the covariate shift re-weighs the source data.
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公开(公告)号：US20200004659A1
公开(公告)日：2020-01-02
申请号：US16021080
申请日：2018-06-28
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Abstract: A computer-implemented method includes generating a raw flow graph based on execution of a program. A semantic flow graph is generated based on the raw flow graph and based on an ontology in a subject matter-domain associated with the program. The semantic flow graph illustrates one or more semantic concepts of the program.
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公开(公告)号：US20180189389A1
公开(公告)日：2018-07-05
申请号：US15841018
申请日：2017-12-13
Applicant: International Business Machines Corporation
Inventor： Ioana Monica Baldini Soares , Aleksandra Mojsilovic , Evan J. Patterson , Kush Raj Varshney
IPC: G06F17/30
CPC classification number: G06F16/367 , G06F16/374 , G06F16/9024 , G06F16/9558
Abstract: Techniques facilitating using flow graphs to represent a data analysis program in a cloud based system for open science collaboration and discovery are provided. In an example, a system can represent a data analysis execution as a flow graph where vertices of the flow graph represent function calls made during the data analysis program and edges between the vertices represent objects passed between the functions. In another example, the flow graph can then be annotated using an annotation database to label the recognized function calls and objects. In another example, the system can then semantically label the annotated flow graph by aligning the annotated graph with a knowledge base of data analysis concepts to provide context for the operations being performed by the data analysis program.
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公开(公告)号：US12061640B2
公开(公告)日：2024-08-13
申请号：US17136823
申请日：2020-12-29
Applicant: International Business Machines Corporation
Inventor： Ioana Monica Baldini Soares , Aleksandra Mojsilovic , Evan J. Patterson , Kush Raj Varshney
IPC: G06F16/36 , G06F16/901 , G06F16/955
CPC classification number: G06F16/367 , G06F16/374 , G06F16/9024 , G06F16/9558
Abstract: Techniques facilitating using flow graphs to represent a data analysis program in a cloud based system for open science collaboration and discovery are provided. In an example, a system can represent a data analysis execution as a flow graph where vertices of the flow graph represent function calls made during the data analysis program and edges between the vertices represent objects passed between the functions. In another example, the flow graph can then be annotated using an annotation database to label the recognized function calls and objects. In another example, the system can then semantically label the annotated flow graph by aligning the annotated graph with a knowledge base of data analysis concepts to provide context for the operations being performed by the data analysis program.
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