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Publications

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    • Faculty Publications  (11)

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    • All HBS Web  (38)
      • Faculty Publications  (11)

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      • 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... View Details
      Keywords: Forecasting and Prediction; AI and Machine Learning; Outcome or Result
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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.
      • 2023
      • Article

      Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse

      By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
      As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means... View Details
      Keywords: AI and Machine Learning; Decision Choices and Conditions; Mathematical Methods
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      Pawelczyk, Martin, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci, and Himabindu Lakkaraju. "Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse." Proceedings of the International Conference on Learning Representations (ICLR) (2023).
      • 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).
      • Article

      Counterfactual Explanations Can Be Manipulated

      By: Dylan Slack, Sophie Hilgard, Himabindu Lakkaraju and Sameer Singh
      Counterfactual explanations are useful for both generating recourse and auditing fairness between groups. We seek to understand whether adversaries can manipulate counterfactual explanations in an algorithmic recourse setting: if counterfactual explanations indicate... View Details
      Keywords: Machine Learning Models; Counterfactual Explanations
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      Slack, Dylan, Sophie Hilgard, Himabindu Lakkaraju, and Sameer Singh. "Counterfactual Explanations Can Be Manipulated." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
      • Article

      Learning Models for Actionable Recourse

      By: Alexis Ross, Himabindu Lakkaraju and Osbert Bastani
      As machine learning models are increasingly deployed in high-stakes domains such as legal and financial decision-making, there has been growing interest in post-hoc methods for generating counterfactual explanations. Such explanations provide individuals adversely... View Details
      Keywords: Machine Learning Models; Recourse; Algorithm; Mathematical Methods
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      Ross, Alexis, Himabindu Lakkaraju, and Osbert Bastani. "Learning Models for Actionable Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
      • Article

      Towards Robust and Reliable Algorithmic Recourse

      By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju
      As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan approvals), there has been growing interest in post-hoc techniques which provide recourse to affected individuals. These techniques generate recourses under the assumption... View Details
      Keywords: Machine Learning Models; Algorithmic Recourse; Decision Making; Forecasting and Prediction
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      Upadhyay, Sohini, Shalmali Joshi, and Himabindu Lakkaraju. "Towards Robust and Reliable Algorithmic Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
      • 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
      Keywords: Predictive Models; Decision Making; Framework; Mathematical Methods
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      Rawal, Kaivalya, and Himabindu Lakkaraju. "Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses." Advances in Neural Information Processing Systems (NeurIPS) 33 (2020).
      • January 2009 (Revised April 2009)
      • Case

      Disaster in April: The Obligations of Kelly Construction

      By: John D. Macomber, Christopher M. Gordon and Ben Creo
      A construction company experiences a crane accident with multiple fatalities. The CEO, a client, and an employee must make choices to meet the company's obligations. Set in 2006, the case looks at the choices faced by board members of a museum that is an important... View Details
      Keywords: Business Exit or Shutdown; Family Business; Insolvency and Bankruptcy; Governing and Advisory Boards; Compensation and Benefits; Contracts; Crisis Management; Construction Industry
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      Macomber, John D., Christopher M. Gordon, and Ben Creo. "Disaster in April: The Obligations of Kelly Construction." Harvard Business School Case 209-099, January 2009. (Revised April 2009.)
      • March 2006
      • Module Note

      Finance in Weak Institutional Environments

      By: Mihir A. Desai and Kathleen Luchs
      Describes the sixth module in the International Finance course at Harvard Business School. The module explores the issues confronting firms that operate in weak institutional environments. The cases examine situations where investor protections are limited and how... View Details
      Keywords: International Finance; Curriculum and Courses; Business Ventures; Framework; Organizational Design; Outcome or Result; Education Industry
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      Desai, Mihir A., and Kathleen Luchs. "Finance in Weak Institutional Environments." Harvard Business School Module Note 206-127, March 2006.
      • December 2001 (Revised April 2003)
      • Case

      Financing PPL Corporation's Growth Strategy

      By: Benjamin C. Esty and Carrie Ferman
      PPL Corp., an electric utility in Pennsylvania, needs to finance $1 billion of peaking plants as part of its new growth strategy. In February 2001, Steve May, director of finance for PPL's Global Division, is responsible for recommending a finance plan. After... View Details
      Keywords: Financial Management; Financial Instruments; Project Finance; Financial Strategy; Corporate Finance; Leasing
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      Esty, Benjamin C., and Carrie Ferman. "Financing PPL Corporation's Growth Strategy." Harvard Business School Case 202-045, December 2001. (Revised April 2003.)
      • June 1988 (Revised December 1991)
      • Case

      An Tai Bao Coal Mining Project

      By: W. Carl Kester and Richard P. Melnick
      An Tai Bao is the world's largest open-pit coal mine and is located in China's Shanxi province. After eight years of planning and negotiating, Occidental Petroleum, the foreign partner in the deal, is about to sign an ownership and financing agreement for $475 million... View Details
      Keywords: Planning; Agreements and Arrangements; Non-Renewable Energy; Equity; Partners and Partnerships; Negotiation Deal; Joint Ventures; Mining Industry; China
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      Kester, W. Carl, and Richard P. Melnick. "An Tai Bao Coal Mining Project." Harvard Business School Case 288-041, June 1988. (Revised December 1991.)
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