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Show Results For
- All HBS Web
(10,598)
- People (74)
- News (2,866)
- Research (3,848)
- Events (45)
- Multimedia (240)
- Faculty Publications (2,387)
- 2022
- Article
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis.
By: Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay and Himabindu Lakkaraju
As machine learning (ML) models become more widely deployed in high-stakes applications, counterfactual explanations have emerged as key tools for providing actionable model explanations in practice. Despite the growing popularity of counterfactual explanations, a... View Details
Keywords: Machine Learning Models; Counterfactual Explanations; Adversarial Examples; Mathematical Methods
Pawelczyk, Martin, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay, and Himabindu Lakkaraju. "Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).
- Web
Transitions - Christensen Center for Teaching & Learning
& Feedback Sample Class Transitions provide the connective tissue that links individual discussion segments ("pastures") together to create a coherent whole. They are typically used by the instructor to provide intermediate closure and frame the subsequent discussion... View Details
- Web
C. Roland Christensen - Christensen Center for Teaching & Learning
skills in the classroom became well known to students and faculty alike. To actively involve students in the learning process, which is the essence of the discussionmethod teaching he brought to such great... View Details
- September 2014 (Revised March 2017)
- Case
Humanitarian Assistance/Disaster Relief: What Can We Learn from Commercial Supply Chains?
By: Willy Shih and Margaret Pierson
Organizing speedy and efficient supply operations for unpredictable major natural disasters was a continuing challenge for the U.S. military, and the 2010 earthquake in Haiti was both unique in its operational scope and political complexity. As he reviewed the... View Details
Keywords: Supply Chains; Humanitarian Assistance; Disaster Relief; Distribution; Logistics; Supply Chain; Supply Chain Management; Operations; Distribution Industry; United States; Haiti
Shih, Willy, and Margaret Pierson. "Humanitarian Assistance/Disaster Relief: What Can We Learn from Commercial Supply Chains?" Harvard Business School Case 615-003, September 2014. (Revised March 2017.)
- 01 May 1998
- Conference Presentation
Rapid Learning and Adaptation in Product Development: An Empirical Study of the Internet Software Industry
By: Alan MacCormack, M. Iansiti and R Verganti
- Article
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III
Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving... View Details
Keywords: Autoencoder Networks; Pattern Detection; Subset Scanning; Computer Vision; Statistical Methods And Machine Learning; Machine Learning; Deep Learning; Data Mining; Big Data; Large-scale Systems; Mathematical Methods; Analytics and Data Science
Cintas, Celia, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, and Edward McFowland III. "Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error." Proceedings of the International Joint Conference on Artificial Intelligence 29th (2020).
- Research Summary
Team, Individual, and Organizational Learning From Experience in Two High-Hazard Industries
High-hazard industries such as nuclear power and chemical process plants must learn and improve without sole reliance on trial-and-error. Considerable attention and resources are placed on learning from operating experience, including exchange of best practices, peer... View Details
- 01 Nov 2018
- Working Paper Summaries
Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning
- 2006
- Conference Paper
Modeling Repeated Play of the Prisoners' Dilemma with Reinforcement Learning over an Enriched Strategy Set
By: A. E. Roth and Ido Erev
- 13 Apr 2017
- News
What Precision Medicine Can Learn from the NFL
- April 2012 (Revised February 2013)
- Case
Learning About Reducing Hospital Mortality at Kaiser Permanente
By: Anita Tucker
In 2011, Kaiser Permanente Northern California (KPNC) region's efforts to reduce mortality in their 21 hospitals is showing promise. They developed and launched a region-wide initiative to improve the treatment of sepsis, a serious and often deadly medical condition.... View Details
Keywords: Change Management; Health Care and Treatment; Performance Improvement; Health Industry; California
Tucker, Anita. "Learning About Reducing Hospital Mortality at Kaiser Permanente ." Harvard Business School Case 612-093, April 2012. (Revised February 2013.)
- 20 Jun 2019
- News
What Tech Pioneers Can Learn From Emerging Markets
- 06 Dec 2017
- Working Paper Summaries
Trials and Terminations: Learning from Competitors' R&D Failures
Keywords: by Joshua Lev Krieger
- 09 Nov 2011
- News
Learning from Peter Drucker and the Girl Scouts
- 15 Feb 2012
- Working Paper Summaries
Learning from My Success and From Others’ Failure: Evidence from Minimally Invasive Cardiac Surgery
- 2006
- Working Paper
Learning and Equilibrium As Useful Approximations: Accuracy of Prediction on Randomly Selected Constant Sum Games
By: Ido Erev, Alvin E. Roth, Robert L. Slonim and Greg Barron
- 01 Jun 2004
- News
Teaching and Learning Center Established, Honors Christensen’s Legacy
Harvard’s Derek Bok Center for Teaching and Learning (where Chris Christensen remains a revered figure); interviewing directors of teaching and learning centers around the... View Details
- 19 Jun 2017
- Working Paper Summaries
Learning to Manage: A Field Experiment in the Indian Startup Ecosystem
- Forthcoming
- Article
Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application
By: Flora Feng, Charis Li and Shunyuan Zhang
Peer-to-peer (P2P) marketplaces have seen exponential growth in recent years, featuring unique offerings from individual providers. However, scalable quantification of visual uniqueness and their impacts on platforms like Airbnb remain largely unexplored. We address... View Details
Keywords: Peer-to-peer Markets; Markets; Digital Platforms; AI and Machine Learning; Performance Effectiveness
Feng, Flora, Charis Li, and Shunyuan Zhang. "Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application." Journal of Consumer Research (forthcoming). (Pre-published online April 8, 2025.)