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Show Results For
- All HBS Web
(11,917)
- People (75)
- News (2,979)
- Research (3,791)
- Events (39)
- Multimedia (347)
- Faculty Publications (2,455)
- Article
Selective Attention and Learning
Schwartzstein, Joshua. "Selective Attention and Learning." Journal of the European Economic Association 12, no. 6 (December 2014): 1423–1452. (Online Appendix.)
- 04 Aug 2020
- Video
Learn From The Leaders
- Jul 29 2015
- Testimonial
A Rich Learning Experience
- Mar 23 2015
- Interview
The Perfect Learning Environment
- 01 Dec 2011
- News
Up the Learning Curve
- 13 Nov 2020
- News
Countdown To Remote Learning
members to teach online, and get 1,900 students—who had scattered around the world—ready to learn online,” says Srikant Datar. “It was daunting.” The School quickly convened a task force from across campus. “Most of us didn’t know each... View Details
- 21 Feb 2019
- Blog Post
Machine Learning and Behavioral Economics
This is a repost from the recruiting blog. For John Bracaglia, his academic and professional careers have been driven by two themes: “machine learning and behavioral economics,” he says. “The two work together. Machine View Details
- 16 Jan 2014
- News
Learning from Helping Others
learned more than anyone else," she says. The work-hard-play-hard environment produced some of her most enduring friendships—Peter Nolan, Andrew Peisch, Suzanne Pollock, Kris Klein—among classmates, and she also met her husband, Alan... View Details
- October 2001
- Article
Speeding Up Team Learning
By: Amy C. Edmondson, Richard Bohmer and Gary P. Pisano
Keywords: Learning
Edmondson, Amy C., Richard Bohmer, and Gary P. Pisano. "Speeding Up Team Learning." Harvard Business Review 79, no. 9 (October 2001): 125–134.
- 2019
- Article
Fair Algorithms for Learning in Allocation Problems
By: Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth and Zachary Schutzman
Settings such as lending and policing can be modeled by a centralized agent allocating a scarce resource (e.g. loans or police officers) amongst several groups, in order to maximize some objective (e.g. loans given that are repaid, or criminals that are apprehended).... View Details
Elzayn, Hadi, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth, and Zachary Schutzman. "Fair Algorithms for Learning in Allocation Problems." Proceedings of the Conference on Fairness, Accountability, and Transparency (2019): 170–179.
- 2020
- Working Paper
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
- February 2013
- Article
Learning from Roger Fisher
Roger Fisher's career and writings not only offer lessons about negotiation but also about how an academic, especially in a professional school such as law or business, can make an important, positive difference in the world. By his relentless engagement in vexing... View Details
Sebenius, James K. "Learning from Roger Fisher." Harvard Law Review 126, no. 4 (February 2013): 893–898.
- 19 Feb 2021
- News
Lessons Learned from Research
- 02 Aug 2018
- News
Learning From Henry Kissinger
- 01 Sep 2011
- News
You’re Never Done Learning
The popular Career Webinar series returns this fall with a full slate of targeted, practical sessions presented by Alumni Career & Professional Development. Hoping to increase your personal engagement at work? Looking to launch an independent consulting business? These... View Details
- 1 Apr 1992
- Conference Presentation
Motivation, Creativity, and Learning
By: R. Conti, Teresa M. Amabile and S. Pollack
- 15 Nov 2022
- Video
Creating an Inclusive Learning Environment (:30 clip)
- Article
Active World Model Learning with Progress Curiosity
By: Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber and Daniel Yamins
World models are self-supervised predictive models of how the world evolves. Humans learn world models by curiously exploring their environment, in the process acquiring compact abstractions of high bandwidth sensory inputs, the ability to plan across long temporal... View Details
Kim, Kuno, Megumi Sano, Julian De Freitas, Nick Haber, and Daniel Yamins. "Active World Model Learning with Progress Curiosity." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020).
- 25 Jan 2016
- News