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- All HBS Web
(808)
- People (1)
- News (87)
- Research (606)
- Events (8)
- Multimedia (6)
- Faculty Publications (330)
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- August 2004
- Background Note
Interpretation of Elasticity Calculations
Explains when to apply the conventional and midpoint elasticity theorems and how to interpret the results. View Details
Yin, Pai-Ling. "Interpretation of Elasticity Calculations." Harvard Business School Background Note 705-412, August 2004.
- TeachingInterests
Interpretability and Explainability in Machine Learning
As machine learning models are increasingly being employed to aid decision makers in high-stakes settings such as healthcare and criminal justice, it is important to ensure that the decision makers correctly understand and consequent trust the functionality of these... View Details
- 2024
- Working Paper
Sharing Models to Interpret Data
By: Joshua Schwartzstein and Adi Sunderam
To understand new data, we share models or interpretations with others. This paper studies such exchanges of models in a community. The key assumption is that people adopt the interpretation in their community that best explains the data, given their prior beliefs. An... View Details
Keywords: Social Learning Theory; Theory; Social Issues; Cognition and Thinking; Social and Collaborative Networks; Attitudes
Schwartzstein, Joshua, and Adi Sunderam. "Sharing Models to Interpret Data." Harvard Business School Working Paper, No. 25-011, August 2024. (Revised August 2024.)
- 01 Sep 2004
- News
Interpreting the Gipper
Beschloss Photo Courtesy of The Newshour with Jim Lehrer Following the death of former President Ronald Reagan in June, presidential historian and author Michael Beschloss (MBA 1980) was frequently quoted in the media on his assessment of Reagan’s legacy. History’s... View Details
- September–October 2023
- Article
Interpretable Matrix Completion: A Discrete Optimization Approach
By: Dimitris Bertsimas and Michael Lingzhi Li
We consider the problem of matrix completion on an n × m matrix. We introduce the problem of interpretable matrix completion that aims to provide meaningful insights for the low-rank matrix using side information. We show that the problem can be... View Details
Keywords: Mathematical Methods
Bertsimas, Dimitris, and Michael Lingzhi Li. "Interpretable Matrix Completion: A Discrete Optimization Approach." INFORMS Journal on Computing 35, no. 5 (September–October 2023): 952–965.
- 2023
- Working Paper
Causal Interpretation of Structural IV Estimands
By: Isaiah Andrews, Nano Barahona, Matthew Gentzkow, Ashesh Rambachan and Jesse M. Shapiro
We study the causal interpretation of instrumental variables (IV) estimands of nonlinear, multivariate structural models with respect to rich forms of model misspecification. We focus on guaranteeing that the researcher's estimator is sharp zero consistent, meaning... View Details
Keywords: Mathematical Methods
Andrews, Isaiah, Nano Barahona, Matthew Gentzkow, Ashesh Rambachan, and Jesse M. Shapiro. "Causal Interpretation of Structural IV Estimands." NBER Working Paper Series, No. 31799, October 2023.
- Article
When Dreaming Is Believing: The (Motivated) Interpretation of Dreams
By: Carey K. Morewedge and Michael I. Norton
This research investigated laypeople's interpretation of their dreams. Participants from both Eastern and Western cultures believed that dreams contain hidden truths (Study 1) and considered dreams to provide more meaningful information about the world than similar... View Details
Keywords: Anchoring; Attribution; Dreams; Motivated Reasoning; Unconscious Thought; Communication Intention and Meaning; Judgments; Values and Beliefs; Information; Behavior; Cognition and Thinking; Motivation and Incentives
Morewedge, Carey K., and Michael I. Norton. "When Dreaming Is Believing: The (Motivated) Interpretation of Dreams." Journal of Personality and Social Psychology 96, no. 2 (February 2009): 249–264. (Winner of Society for Personality and Social Psychology. Theoretical Innovation Prize For an article or book chapter judged to provide the most innovative theoretical contribution to social/personality psychology within a given year presented by Society for Personality and Social Psychology.)
- May/June 1989
- Article
Supping with the Devil: Another Interpretation
By: L. T. Wells Jr.
Wells, L. T., Jr. "Supping with the Devil: Another Interpretation." Liberal Education 75 (May/June 1989): 25–27.
- 1990
- Other Unpublished Work
Using and Interpreting Financial Statements
By: Marc L Bertoneche
Keywords: Financial Statements
- Research Summary
Making Machine Learning Models Interpretable
I work on developing various tools and methodologies which can help decision makers (e.g., doctors, managers) to better understand the predictions of machine learning models. View Details
- 27 Sep 2012
- News
Guanxi or关系: one word, many interpretations
- 2023
- Chapter
Marketing Through the Machine’s Eyes: Image Analytics and Interpretability
By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia, 217–238. Review of Marketing Research. Emerald Publishing Limited, 2023.
- Article
Learning Cost-Effective and Interpretable Treatment Regimes
By: Himabindu Lakkaraju and Cynthia Rudin
Lakkaraju, Himabindu, and Cynthia Rudin. "Learning Cost-Effective and Interpretable Treatment Regimes." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 20th (2017).
- May 1991
- Background Note
Interpretation and Analysis of Stockholders' Equity
By: David F. Hawkins
Hawkins, David F. "Interpretation and Analysis of Stockholders' Equity." Harvard Business School Background Note 191-143, May 1991.
- Article
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses
By: Kaivalya Rawal and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision-making, there has been a lot of interest in developing algorithms which can provide recourses to affected individuals. While developing such tools is important, it is even more critical to... View Details
Rawal, Kaivalya, and Himabindu Lakkaraju. "Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses." Advances in Neural Information Processing Systems (NeurIPS) 33 (2020).
- fall 1989
- Article
How Do Investors Interpret Firms' Financial Decisions
By: Paul M. Healy and Krishna G. Palepu
Healy, Paul M., and Krishna G. Palepu. "How Do Investors Interpret Firms' Financial Decisions." Continental Bank Journal of Applied Corporate Finance 2, no. 3 (fall 1989).
- Article
A New Interpretation of the F Statistic
By: John W. Pratt and Robert Schlaifer
Pratt, John W., and Robert Schlaifer. "A New Interpretation of the F Statistic." American Statistician 52, no. 2 (May 1998): 141–143.
- November–December 2019
- Article
Making Sense of Soft Information: Interpretation Bias and Loan Quality
By: Dennis Campbell, Maria Loumioti and Regina Wittenberg Moerman
We explore whether behavioral biases impede the effective processing and interpretation of soft information in private lending. Taking advantage of the internal reporting system of a large federal credit union, we delineate three important biases likely to affect the... View Details
Keywords: Soft Information; Lending; Banking; Information; Financing and Loans; Banks and Banking; Decision Making
Campbell, Dennis, Maria Loumioti, and Regina Wittenberg Moerman. "Making Sense of Soft Information: Interpretation Bias and Loan Quality." Art. 101240. Journal of Accounting & Economics 68, nos. 2-3 (November–December 2019).
- Article
Incorporating Interpretable Output Constraints in Bayesian Neural Networks
By: Wanqian Yang, Lars Lorch, Moritz Graule, Himabindu Lakkaraju and Finale Doshi-Velez
Domains where supervised models are deployed often come with task-specific constraints, such as prior expert knowledge on the ground-truth function, or desiderata like safety and fairness. We introduce a novel probabilistic framework for reasoning with such constraints... View Details
Yang, Wanqian, Lars Lorch, Moritz Graule, Himabindu Lakkaraju, and Finale Doshi-Velez. "Incorporating Interpretable Output Constraints in Bayesian Neural Networks." Advances in Neural Information Processing Systems (NeurIPS) 33 (2020).
- 14 Aug 2017
- Conference Presentation
Interpretable and Explorable Approximations of Black Box Models
By: Himabindu Lakkaraju, Ece Kamar, Rich Caruana and Jure Leskovec
Lakkaraju, Himabindu, Ece Kamar, Rich Caruana, and Jure Leskovec. "Interpretable and Explorable Approximations of Black Box Models." Paper presented at the 4th Workshop on Fairness, Accountability, and Transparency in Machine Learning, Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), Halifax, NS, Canada, August 14, 2017.