Publications
Publications
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- All HBS Web
(163)
- Faculty Publications (11)
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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... View Details
- 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
- December 2023
- Article
Self-Orienting in Human and Machine Learning
By: Julian De Freitas, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum and T. Ullman
A current proposal for a computational notion of self is a representation of one’s body in a specific time and place, which includes the recognition of that representation as the agent. This turns self-representation into a process of self-orientation, a challenging... View Details
- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
- December 2022
- Article
Entry Points: Gaining Momentum in Early-Stage Cross-Boundary Collaborations
By: Eva Flavia Martínez Orbegozo, Jorrit de Jong, Hannah Riley Bowles, Amy Edmondson, Anahide Nahhal and Lisa Cox
To address complex social challenges, it is widely recognized that leaders from public, for-profit, and civic organizations should join forces. Yet, well-intended collaborators often struggle to achieve alignment and fail to gain traction in their joint efforts. This... View Details
- 2022
- Working Paper
Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments
By: Fanglin Chen, Xiao Liu, Davide Proserpio and Isamar Troncoso
We propose a method, Product2Vec, based on representation learning, that can automatically learn latent product attributes that drive consumer choices, to study product-level competition when the number of products is large. We demonstrate Product2Vec’s... View Details
- 2021
- Chapter
Towards a Unified Framework for Fair and Stable Graph Representation Learning
By: Chirag Agarwal, Himabindu Lakkaraju and Marinka Zitnik
As the representations output by Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes important to ensure that these representations are fair and stable. In this work, we establish a key connection between counterfactual... View Details
- 2019
- Article
Can Big Data Improve Firm Decision Quality? The Role of Data Quality and Data Diagnosticity
By: Maryam Ghasemaghaei and Goran Calic
Anecdotal evidence suggests that, despite the large variety of data, the huge volume of generated data, and the fast velocity of obtaining data (i.e., big data), quality of big data is far from perfect. Therefore, many firms defer collecting and integrating big data as... View Details
- March 2013
- Case
NovaStar Financial: A Short Seller's Battle
By: Suraj Srinivasan and Amy Kaser
The NovaStar case describes the challenges faced by short seller Marc Cohodes of hedge fund Rocker Partners as he tried to expose what he thought was widespread fraud in mortgage lender NovaStar Financial. The case is set in the time period from 2001 to 2007 and tracks... View Details
Keywords: Short Selling; Financial Accounting; Financial Analysis; Financial Analysts; Valuation; Business Analysis; Financial Statement Analysis; Financial Statements; Securitization; Securities Analysis; Fraud; Accounting Quality; Accounting Red Flags; Accounting Restatements; Hedge Fund; Hedge Funds; Accounting Scandal; Accounting Fraud; Financial Crisis; Financial Intermediaries; Financial Firms; Corporate Accountability; Subprime Lending; Mortgage Lending; Accounting; Accrual Accounting; Fair Value Accounting; Governance; Governance Compliance; Corporate Governance; Governance Controls; Financial Services Industry; United States; California
- 2012
- Working Paper
An Outside-Inside Evolution in Gender and Professional Work
By: Lakshmi Ramarajan, Kathleen McGinn and Deborah Kolb
We study the process by which a professional service firm reshaped its activities and beliefs over nearly two decades as it adapted to shifts in the social discourse regarding gender and work. Analyzing archival data from the firm over eighteen years and... View Details
- Teaching Interest
Investing: Risk, Return and Impact (MBA)
By: Shawn A. Cole
This is an investing/finance course, designed to build on skills introduced in the RC finance course, but with an emphasis on how and whether investors should incorporate what have traditionally been considered “non-financial” criteria in their decisions: for... View Details