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All HBS Web
(5)
- Research (2)
- Faculty Publications (1)
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- 2024
- Working Paper
Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization
This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets...
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Keywords:
Heterogeneous Treatment Effect;
Multi-task Learning;
Representation Learning;
Personalization;
Promotion;
Deep Learning;
Field Experiments;
Customer Focus and Relationships;
Customization and Personalization
Huang, Ta-Wei, Eva Ascarza, and Ayelet Israeli. "Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization." Harvard Business School Working Paper, No. 24-076, June 2024.
- Web
Students on the Job Market - Doctoral
tested interventions. Unlike traditional multi-task learning methods that build separate models for each intervention, IRL uses a unified prediction model across past experiments to enhance generalizability....
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- Web
Departments - Employment
high quality service to key stakeholders. We work as a close team to accomplish our goals and juggle many activities at once. Attributes of Successful Staff Members Flexibility Ability to multi-task and appropriately prioritize Eagerness...
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- 04 Nov 2010
- What Do You Think?
Why Do We Chase Stars?
the time to learn their new company's management processes." Stephen Basikoti put it this way: "The fact that some transplanted leaders do not succeed does not negate the fact that management performance is portable; it simply...
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Keywords:
by Jim Heskett
- 04 May 2020
- Blog Post
6 Things You Should Know About the HBS/HKS Joint Degree
(MBA/MPP 2017) and Taniel Chan (MBA/MPP 2017) are invested in understanding how social change can be driven through public-private partnerships. Being the tremendous multi-taskers they are, they’re also eager to help prospective students...
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