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  • All HBS Web  (1,227)
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  • All HBS Web  (1,227)
    • People  (1)
    • News  (246)
    • Research  (710)
    • Events  (17)
    • Multimedia  (9)
  • Faculty Publications  (595)
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  • Web

C. Ludens Ringnes Sculpture Collection | About

2023 – 2025 This exhibition is made possible by the generosity of the artists and galleries, including Ai Weiwei (Lisson Gallery and neugerriemschneider) View Details
  • 02 Mar 2016
  • News

David Moss is Rewriting History

students can’t simply rely on their modern-day political views; the Democratic and Republican parties didn’t even exist yet, and the political challenges they will learn about... View Details
Keywords: April White
  • 01 Dec 2018
  • News

Digital Transformation

in.” To further scholarship at HBS related to data science, machine learning, and artificial intelligence, and to support HBS’s Digital Initiative, Ahmad established the Syed... View Details
  • Web

Hidden Workers, Part-Time Potential - Managing the Future of Work

responsibilities, health challenges, and partial retirement, among others. By learning about and accommodating the needs of these workers, firms can encourage part-time... View Details
  • Web

Strategy Execution Online Course | HBS Online

Participant Prepare for a managerial role and position yourself for advancement by learning how to effectively implement strategy. "What I found most valuable were the methods View Details
  • April 2023
  • Article

On the Privacy Risks of Algorithmic Recourse

By: Martin Pawelczyk, Himabindu Lakkaraju and Seth Neel
As predictive models are increasingly being employed to make consequential decisions, there is a growing emphasis on developing techniques that can provide algorithmic recourse to affected individuals. While such recourses can be immensely beneficial to affected... View Details
Keywords: Recourse; Privacy Threats; AI and Machine Learning; Information
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Pawelczyk, Martin, Himabindu Lakkaraju, and Seth Neel. "On the Privacy Risks of Algorithmic Recourse." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 206 (April 2023).
  • 2023
  • Article

MoPe: Model Perturbation-based Privacy Attacks on Language Models

By: Marvin Li, Jason Wang, Jeffrey Wang and Seth Neel
Recent work has shown that Large Language Models (LLMs) can unintentionally leak sensitive information present in their training data. In this paper, we present Model Perturbations (MoPe), a new method to identify with high confidence if a given text is in the training... View Details
Keywords: Large Language Model; AI and Machine Learning; Cybersecurity
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Li, Marvin, Jason Wang, Jeffrey Wang, and Seth Neel. "MoPe: Model Perturbation-based Privacy Attacks on Language Models." Proceedings of the Conference on Empirical Methods in Natural Language Processing (2023): 13647–13660.
  • 07 Jan 2019
  • Research & Ideas

The Better Way to Forecast the Future

for prediction and for forecasting something that is unknown.” The rise of big data and machine learning offers infinitely more fuel to churn out... View Details
Keywords: by Roberta Holland; Air Transportation; Transportation
  • 25 Apr 2024
  • News

Origin Stories

Subscribe on iTunes Subscribe on Spotify More Skydeck episodes Dan Morrell: Hi, this is Dan Morrell, host of Skydeck. Where we come from and how we were raised has a profound effect on who we become. The recipients of this year’s Alumni Achievement Award grew up... View Details
  • Web

Globalization - Faculty & Research

transformation, and how Su is positioning the company for the future. Keywords: Turnaround ; Change Management ; Transformation ; Decision Making ; Globalized Markets and Industries ; Government View Details
  • 19 Apr 2004
  • Research & Ideas

Birth of the American Salesman

Influence People, published originally in 1937, remains one of the most popular and draws in part on lessons the author learned working as a salesman for Armour. Q: You trace the world of selling in America... View Details
Keywords: by Laura Linard
  • 2023
  • Working Paper

Distributionally Robust Causal Inference with Observational Data

By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details
Keywords: AI and Machine Learning; Mathematical Methods
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Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
  • Web

Technology & Operations Management Awards & Honors - Faculty & Research

Serguei Netessine. Himabindu Lakkaraju : Honorable Mention for the Workshop on Trustworthy and Socially Responsible Machine Learning (TSRML) Outstanding Paper Award at the 2022... View Details
  • 01 Sep 2023
  • News

Global Outposts Expand HBS’s Intellectual Footprint

1,300 MBA students traveled abroad to 20 countries this year for hands-on, immersive learning experiences. The centers’ primary focus has been on case writing and facilitating faculty research, explains... View Details
Keywords: Jennifer Gillespie
  • 14 Mar 2024
  • Blog Post

IFC India: SELCO - Last Mile Solar Powered Energy for Rural India

impact within the community is designed to build ecosystems that deliver quality livelihood, health, and energy services at the last mile. During our visit, we had the chance to see and View Details
  • 13 May 2022
  • Research & Ideas

Company Reviews on Glassdoor: Petty Complaints or Signs of Potential Misconduct?

upstream indicators of culture gone sour, they scraped employee reviews from Glassdoor.com, a website where employees can leave subjective anonymous reviews about their employer. Harnessing machine learning... View Details
Keywords: by Michael Blanding; Technology
  • Web

Research Computing Services - Faculty & Research

and matching Review of papers and assistance addressing reviewers' comments Identification and testing of new methods and approaches The... View Details
  • Web

Scaling Work - Research Computing Services

be run in parallel ....and are often used for Machine Learning types of'embarrassingly parallel' tasks (== a huge task can be broken down into many smaller ones that are completely independent of one... View Details
  • 06 Jul 2020
  • Research & Ideas

The Right Way to Manage Customer Churn for Maximum Profit

the example of an online retailer who suddenly sees a monthly shopper stop buying for two months. “Customers just stop using the service but don’t have to tell the company.” In order to manage churn, companies typically use machine View Details
Keywords: by Michael Blanding; Retail; Service; Financial Services
  • Web

Data Practices - Research Computing Services

Data Practices Data Tips & Toolkits RCS has compiled an array of packages and tools that can help you with your data wrangling, web scraping, and statistical analysis, among others. Below is a selected list... View Details
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