Publications

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

Keywords: World Models; Mathematical Methods

22 May 2017
Blog Post

Changing How You Think at HBS

game and learn a new skill set. Going to HBS was a no brainer: the general management curriculum was exactly what I was looking for. Truth is I had been working with US competitors’ firms, and I wanted to get exposure to the US... View Details

13 Jun 2005
Research & Ideas

From Turf Wars to Learning Curves: How Hospitals Adopt New Technology

influential…, PTCA has been used less frequently than in hospitals with less influential surgeons." And even if PTCA and other innovations make it past initial gatekeepers, it's a long road to adoption because of learning curves... View Details

Keywords: by Sara Grant; Health

08 Sep 2009
Research & Ideas

The Height Tax, and Other New Ways to Think about Taxation

reforms seem unlikely, but we are missing a large opportunity by avoiding them. In general, I hesitate to pass judgment on our tax system as a whole. My intuition is that tax theorists have as much or more to View Details

Keywords: by Martha Lagace

25 Jan 2016
News

Problem-based learning and the case method

February 26, 2024
Article

Making Workplaces Safer Through Machine Learning

By: Matthew S. Johnson, David I. Levine and Michael W. Toffel

Machine learning algorithms can dramatically improve regulatory effectiveness. This short article describes the authors' scholarly work that shows how the U.S. Occupational Safety and Health Administration (OSHA) could have reduced nearly twice as many occupational... View Details

Keywords: Government Experimentation; Auditing; Inspection; Evaluation; Process Improvement; Government Administration; AI and Machine Learning; Safety; Governing Rules, Regulations, and Reforms

June 2024
Article

Rationalizing Outcomes: Interdependent Learning in Competitive Markets

By: Anoop R. Menon and Dennis Yao

In this article we use simulation models to explore interdependent learning in competitive markets. Such interactions require attention to both the mental representations held by the management of the focal firm as well as the beliefs of that management about the... View Details

Keywords: Mental Models; Strategic Interactions; Rationalization; Explanation-based View; Competition

Purchase

July–August 2023
Article

Demand Learning and Pricing for Varying Assortments

By: Kris Ferreira and Emily Mower

Problem Definition: We consider the problem of demand learning and pricing for retailers who offer assortments of substitutable products that change frequently, e.g., due to limited inventory, perishable or time-sensitive products, or the retailer’s desire to... View Details

Keywords: Experiments; Pricing And Revenue Management; Retailing; Demand Estimation; Pricing Algorithm; Marketing; Price; Demand and Consumers; Mathematical Methods

06 Dec 2017
Working Paper Summaries

Trials and Terminations: Learning from Competitors' R&D Failures

Keywords: by Joshua Lev Krieger

Teaching by Heart: One Professor's Journey to Inspire

The best teachers are leaders, and the best leaders are teachers. Teaching by Heart summarizes the author's key insights gained from more than 40 years of teaching and managing. It illustrates how teachers can both lift people up and let them down. It proposes... View Details

January 2008
Article

Learning the Fine Art of Collaboration

By: Alan MacCormack and Theodore Forbath

Innovations are increasingly brought to the market by networks of firms, selected for their unique capabilities and operating in a coordinated manner. This collaborative model demands that firms develop different skills, yet despite this need, there is little guidance... View Details

Keywords: Digital Platforms

01 Apr 1997
News

Learning from the Past

led it back to profitability during the oil boom of the 1970s. By 1983, however, boom had turned to bust. After restructuring the company to a more suitable size, Strassler cashed out and helped his brother launch a family-run investment... View Details

Keywords: James E. Aisner

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