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  • All HBS Web  (1,199)
    • People  (1)
    • News  (234)
    • Research  (678)
    • Events  (17)
    • Multimedia  (8)
  • Faculty Publications  (563)
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  • 31 Jul 2023
  • News

Striving for Imperfection

me more about this case that you’re making for leaning into ambiguity and imperfection. Why is that a good solution for this moment in time? Charles Conn: Yeah, when most of us learn strategy, View Details
Keywords: Management of Companies and Enterprises; Management of Companies and Enterprises
  • Web

Financial Accounting Online Course | HBS Online

This course is part of the Finance & Accounting track. Introduction to Financial Accounting LIMITED TIME ONLY Extra learning at no extra cost. Enroll now and unlock a GenAI Bonus Bundle featuring... View Details
  • 22 Feb 2024
  • Blog Post

It’s Time to Build: Why the MS/MBA Is Right for You!

generally applicable, I also hoped to stay technical where possible, especially in 2021 amid the changing environment for AI and Web3. A conversation with a friend and mentor... View Details
  • 06 Sep 2022
  • Research & Ideas

Does Hybrid Work Actually Work? Insights from 30,000 Emails

country’s nationwide COVID-19 lockdown. The researchers studied employee emails and attachments before and during a nine-week period using machine View Details
Keywords: by Ben Rand
  • 17 Jan 2019
  • Blog Post

MBA Curriculum Spotlight: Short Intensive Programs (SIPs)

variables like the economies of scale and scope that it can generate and the drivers of learning and innovation. Despite the explosion of media... View Details
  • Web

Online Finance & Accounting Courses | HBS Online

intersection of accounting, strategy, and finance, and learn how to evaluate a business’s performance, prospects, and value to make strategic... View Details
  • Profile

Jean Luo

things and see how I liked entrepreneurship.” As early as November in her RC year, Jean began Outdoor Pass, an application that uses machine learning View Details
Keywords: Financial Services; Tech
  • 01 Dec 2023
  • News

A Continuum of Innovation

As senior associate dean and chair of the MBA Program, Matt Weinzierl has a running list of questions that he and Jana P. Kierstead, the executive director of MBA and Doctoral programs, always keep in mind. They range from the curricular (How can we ensure that the MBA... View Details
Keywords: Jennifer Gillespie
  • 2022
  • Article

Efficiently Training Low-Curvature Neural Networks

By: Suraj Srinivas, Kyle Matoba, Himabindu Lakkaraju and Francois Fleuret
Standard deep neural networks often have excess non-linearity, making them susceptible to issues such as low adversarial robustness and gradient instability. Common methods to address these downstream issues, such as adversarial training, are expensive and often... View Details
Keywords: AI and Machine Learning
Citation
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Srinivas, Suraj, Kyle Matoba, Himabindu Lakkaraju, and Francois Fleuret. "Efficiently Training Low-Curvature Neural Networks." Advances in Neural Information Processing Systems (NeurIPS) (2022).
  • 07 Dec 2022
  • Blog Post

2022 Climate Symposium: Tackling Climate Together

to engage with unfamiliar topics and start conversations on how to learn from even those who they may disagree with." The day provided many different chances for the attendees to network, including coffee... View Details
  • 01 Dec 2023
  • News

Rounding the Bend

Illustration by Fernando Cobelo To help people visualize what a circular economy could look like and bring the challenges down to a closet-sized scale, Emily Bolon (MBA/MPA 2007) recommends the following exercise. First, make a mental tally of the number of garments... View Details
Keywords: Jen McFarland Flint; Miscellaneous Store Retailers; Retail Trade; Apparel Manufacturing; Manufacturing
  • 24 Jan 2005
  • Research & Ideas

Rethinking Activity-Based Costing

machine is available to work 40 hours per week, its practical full capacity is 32 to 35 hours per week. Typically, managers would allot a lower rate—say 80 percent—to people, allowing 20 percent of their time for breaks, arrival View Details
Keywords: by Robert S. Kaplan & Steven R. Anderson
  • Web

Business History - Faculty & Research

in emerging markets. Multiple methodologies have been employed including coding and the application of machine learning to undertake facial and... View Details
  • 2024
  • Conference Paper

Quantifying Uncertainty in Natural Language Explanations of Large Language Models

By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal
Large Language Models (LLMs) are increasingly used as powerful tools for several high-stakes natural language processing (NLP) applications. Recent prompting works claim to elicit intermediate reasoning steps and key tokens that serve as proxy explanations for LLM... View Details
Keywords: Large Language Model; AI and Machine Learning
Citation
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Lakkaraju, Himabindu, Sree Harsha Tanneru, and Chirag Agarwal. "Quantifying Uncertainty in Natural Language Explanations of Large Language Models." Paper presented at the Society for Artificial Intelligence and Statistics, 2024.
  • Web

Women’s Leadership Summit - Alumni

start-up investments through the Angels network. HBS Clubs & SIGs Access Tailored Support for Your Success Leverage a range of HBS resources designed to support your ongoing success. From career development to learning opportunities,... View Details
  • 01 Jun 2024
  • News

Redefining How Businesses Operate

In her LinkedIn profile, Rebecca Hu (MBA 2023) describes herself as a “biologist-turned-technologist obsessed with building great software products.” A product manager at the language learning app Duolingo, Hu immersed herself in electives and activities centered... View Details
Keywords: Jennifer Gillespie
  • 19 Sep 2023
  • Blog Post

2023 Summer Internships in Business & Environment

basalt reacts with CO2, trapping it for 10,000+ years while improving soil health and increasing crop yields for partner farmers. Lithos uses novel soil models and machine... View Details
  • 2023
  • Working Paper

Auditing Predictive Models for Intersectional Biases

By: Kate S. Boxer, Edward McFowland III and Daniel B. Neill
Predictive models that satisfy group fairness criteria in aggregate for members of a protected class, but do not guarantee subgroup fairness, could produce biased predictions for individuals at the intersection of two or more protected classes. To address this risk, we... View Details
Keywords: Predictive Models; Bias; AI and Machine Learning
Citation
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Boxer, Kate S., Edward McFowland III, and Daniel B. Neill. "Auditing Predictive Models for Intersectional Biases." Working Paper, June 2023.
  • 23 Nov 2021
  • Research & Ideas

The Vinyl Renaissance: Take Those Old Records Off the Shelf

Austin, Texas, in 2017, and Ryan Raffaelli, the Marvin Bower Associate Professor at HBS, to learn more about the vinyl renaissance. The interview has been edited for clarity View Details
Keywords: by Christine Pazzanese, Harvard Gazette; Music
  • Web

Find Past & Upcoming Events - Alumni

2005), you'll learn the benefits, principles, and process of establishing your unique personal brand. Apr 10 12 PM – 1 PM EDT, 10 Apr 2025 Virtual Fireside Chat: Planning for a Successful Career Break View Details
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