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(649)
- News (146)
- Research (402)
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- Faculty Publications (289)
Show Results For
-
All HBS Web
(649)
- News (146)
- Research (402)
- Events (13)
- Multimedia (10)
- Faculty Publications (289)
- 2023
- Article
On the Impact of Actionable Explanations on Social Segregation
By: Ruijiang Gao and Himabindu Lakkaraju
As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research...
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Gao, Ruijiang, and Himabindu Lakkaraju. "On the Impact of Actionable Explanations on Social Segregation." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 10727–10743.
- 2010
- Chapter
Deferred Acceptance Algorithms: History, Theory, Practice
By: Alvin E. Roth
The deferred acceptance algorithm proposed by Gale and Shapley (1962) has had a profound influence on market design, both directly, by being adapted into practical matching mechanisms, and indirectly, by raising new theoretical questions. Deferred acceptance algorithms...
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- 2022
- Working Paper
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with...
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Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Working Paper, March 2022.
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning
We study the data deletion problem for convex models. By leveraging techniques from convex optimization and reservoir sampling, we give the first data deletion algorithms that are able to handle an arbitrarily long sequence of adversarial updates while promising...
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- 09 Nov 2021
- HBS Seminar
Susan Murphy, Harvard-SEAS
- 17 Jan 2020
- News
Review: Competing in the Digital Age
- Article
Vungle Inc. Improves Monetization Using Big-Data Analytics
By: Bert De Reyck, Ioannis Fragkos, Yael Grushka-Cockayne, Casey Lichtendahl, Hammond Guerin and Andrew Kritzer
The advent of big data has created opportunities for firms to customize their products and services to unprecedented levels of granularity. Using big data to personalize an offering in real time, however, remains a major challenge. In the mobile advertising industry,...
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Keywords:
Big Data;
Monetization;
Data and Data Sets;
Advertising;
Mobile Technology;
Customization and Personalization;
Performance Improvement
De Reyck, Bert, Ioannis Fragkos, Yael Grushka-Cockayne, Casey Lichtendahl, Hammond Guerin, and Andrew Kritzer. "Vungle Inc. Improves Monetization Using Big-Data Analytics." Interfaces 47, no. 5 (September–October 2017): 454–466.
- Research Summary
Overview
I develop machine learning tools and techniques which enable human decision makers to make better decisions. More specifically, my research addresses the following fundamental questions pertaining to human and algorithmic decision-making:
1. How to build... View Details
1. How to build... View Details
- 05 Oct 2015
- Working Paper Summaries
Online Network Revenue Management Using Thompson Sampling
- September 2017
- Article
It Doesn't Hurt to Ask: Question-asking Increases Liking
By: K. Huang, M. Yeomans, A.W. Brooks, J. Minson and F. Gino
Conversation is a fundamental human experience, one that is necessary to pursue intrapersonal and interpersonal goals across myriad contexts, relationships, and modes of communication. In the current research, we isolate the role of an understudied conversational...
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Keywords:
Question-asking;
Liking;
Responsiveness;
Conversation;
Natural Language Processing;
Interpersonal Communication;
Behavior
Huang, K., M. Yeomans, A.W. Brooks, J. Minson, and F. Gino. "It Doesn't Hurt to Ask: Question-asking Increases Liking." Journal of Personality and Social Psychology 113, no. 3 (September 2017): 430–452.
- December 2019
- Article
Costly Concessions: An Empirical Framework for Matching with Imperfectly Transferable Utility
By: Alfred Galichon, Scott Duke Kominers and Simon Weber
We introduce an empirical framework for models of matching with imperfectly transferable utility and unobserved heterogeneity in tastes. Our framework allows us to characterize matching equilibrium in a flexible way that includes as special cases the classic fully- and...
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Keywords:
Sorting;
Matching;
Marriage Market;
Intrahousehold Allocation;
Imperfectly Transferable Utility;
Marketplace Matching;
Mathematical Methods
Galichon, Alfred, Scott Duke Kominers, and Simon Weber. "Costly Concessions: An Empirical Framework for Matching with Imperfectly Transferable Utility." Journal of Political Economy 127, no. 6 (December 2019): 2875–2925.
- 2023
- Article
Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten
By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an...
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Keywords:
Analytics and Data Science;
AI and Machine Learning;
Decision Making;
Governing Rules, Regulations, and Reforms
Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.
Jeremy Yang
Jeremy Yang is an Assistant Professor of Business Administration in the Marketing Unit at Harvard Business School. He teaches Marketing in the MBA required curriculum. He develops data products for...
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- September 2019 (Revised September 2019)
- Case
Facebook Fake News in the Post-Truth World
By: John R. Wells, Carole A. Winkler and Benjamin Weinstock
In August 2019, Mark Zuckerberg, founder and CEO of Facebook, was surrounded by controversy. The first major storm of protest followed the surprise election of Donald Trump as President of the United States on November 8, 2016; many put the blame at the door of fake...
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Keywords:
Facebook;
Fake News;
Mark Zuckerberg;
Donald Trump;
Algorithms;
Social Networks;
Partisanship;
Social Media;
App Development;
Instagram;
WhatsApp;
Smartphone;
Silicon Valley;
Office Space;
Digital Strategy;
Democracy;
Entry Barriers;
Online Platforms;
Controversy;
Tencent;
Agility;
Social Networking;
Gaming;
Gaming Industry;
Computer Games;
Mobile Gaming;
Messaging;
Monetization Strategy;
Advertising;
Digital Marketing;
Business Ventures;
Acquisition;
Mergers and Acquisitions;
Business Growth and Maturation;
Business Headquarters;
Business Organization;
For-Profit Firms;
Trends;
Communication;
Communication Technology;
Forms of Communication;
Interactive Communication;
Interpersonal Communication;
Talent and Talent Management;
Crime and Corruption;
Voting;
Demographics;
Entertainment;
Games, Gaming, and Gambling;
Moral Sensibility;
Values and Beliefs;
Initial Public Offering;
Profit;
Revenue;
Geography;
Geographic Location;
Global Range;
Local Range;
Country;
Cross-Cultural and Cross-Border Issues;
Globalized Firms and Management;
Globalized Markets and Industries;
Governing Rules, Regulations, and Reforms;
Government and Politics;
International Relations;
National Security;
Political Elections;
Business History;
Recruitment;
Selection and Staffing;
Information Management;
Information Publishing;
News;
Newspapers;
Innovation and Management;
Innovation Strategy;
Technological Innovation;
Knowledge Dissemination;
Human Capital;
Law;
Leadership Development;
Leadership Style;
Leading Change;
Business or Company Management;
Crisis Management;
Goals and Objectives;
Growth and Development Strategy;
Growth Management;
Management Practices and Processes;
Management Style;
Management Systems;
Management Teams;
Managerial Roles;
Marketing Channels;
Social Marketing;
Network Effects;
Market Entry and Exit;
Digital Platforms;
Marketplace Matching;
Industry Growth;
Industry Structures;
Monopoly;
Media;
Product Development;
Service Delivery;
Corporate Social Responsibility and Impact;
Mission and Purpose;
Organizational Change and Adaptation;
Organizational Culture;
Organizational Structure;
Public Ownership;
Problems and Challenges;
Business and Community Relations;
Business and Government Relations;
Groups and Teams;
Networks;
Rank and Position;
Opportunities;
Behavior;
Emotions;
Identity;
Power and Influence;
Prejudice and Bias;
Reputation;
Social and Collaborative Networks;
Status and Position;
Trust;
Society;
Civil Society or Community;
Culture;
Public Opinion;
Social Issues;
Societal Protocols;
Strategy;
Adaptation;
Business Strategy;
Commercialization;
Competition;
Competitive Advantage;
Competitive Strategy;
Corporate Strategy;
Customization and Personalization;
Diversification;
Expansion;
Horizontal Integration;
Segmentation;
Information Technology;
Internet and the Web;
Mobile and Wireless Technology;
Applications and Software;
Information Infrastructure;
Valuation;
Advertising Industry;
Communications Industry;
Entertainment and Recreation Industry;
Information Industry;
Information Technology Industry;
Journalism and News Industry;
Media and Broadcasting Industry;
Service Industry;
Technology Industry;
Telecommunications Industry;
Video Game Industry;
United States;
California;
Sunnyvale;
Russia
Wells, John R., Carole A. Winkler, and Benjamin Weinstock. "Facebook Fake News in the Post-Truth World." Harvard Business School Case 720-373, September 2019. (Revised September 2019.)
- Article
Adaptive Machine Unlearning
By: Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Chris Waites
Data deletion algorithms aim to remove the influence of deleted data points from trained models at a cheaper computational cost than fully retraining those models. However, for sequences of deletions, most prior work in the non-convex setting gives valid guarantees...
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Gupta, Varun, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, and Chris Waites. "Adaptive Machine Unlearning." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- March 2008
- Article
Deferred Acceptance Algorithms: History, Theory, Practice, and Open Questions
By: Alvin E. Roth
The deferred acceptance algorithm proposed by Gale and Shapley (1962) has had a profound influence on market design, both directly, by being adapted into practical matching mechanisms, and, indirectly, by raising new theoretical questions. Deferred acceptance...
View Details
Keywords:
History;
Market Design;
Labor;
System;
Practice;
Performance;
Theory;
Boston;
New York (city, NY)
Roth, Alvin E. "Deferred Acceptance Algorithms: History, Theory, Practice, and Open Questions." Prepared for Gale's Feast: A Day in Honor of the 85th Birthday of David Gale International Journal of Game Theory 36, nos. 3-4 (March 2008): 537–569.
- 2007
- Working Paper
Deferred Acceptance Algorithms: History, Theory, Practice, and Open Questions
By: Alvin E. Roth
The deferred acceptance algorithm proposed by Gale and Shapley (1962) has had a profound influence on market design, both directly, by being adapted into practical matching mechanisms, and, indirectly, by raising new theoretical questions. Deferred acceptance...
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- August 2021 (Revised April 2022)
- Case
Intenseye: Powering Workplace Health and Safety with AI
By: Michael W. Toffel and Youssef Abdel Aal
Intenseye was a Turkey-based technology startup that deployed machine learning algorithms to workplace camera feeds in order to identify unsafe worker actions and unsafe working conditions, in order to help improve worker safety. The case describes how Intenseye’s...
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Keywords:
Privacy;
Product Development;
Operations;
Technological Innovation;
Value Creation;
Production;
Distribution;
Safety;
Risk and Uncertainty;
Technology Industry;
Manufacturing Industry;
Distribution Industry;
Turkey;
Middle East;
United States
Toffel, Michael W., and Youssef Abdel Aal. "Intenseye: Powering Workplace Health and Safety with AI." Harvard Business School Case 622-037, August 2021. (Revised April 2022.)