Himabindu lakkaraju
WebAgarwal, Chirag, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, and Himabindu Lakkaraju. "OpenXAI: Towards a Transparent … Web10 mar 2024 · Kleinberg, Jon, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig, and Sendhil Mullainathan. "Human Decisions and Machine Predictions." Quarterly Journal of Economics 133, no. 1 (February 2024): 237–293. Find it at Harvard.
Himabindu lakkaraju
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Web1 code implementation • 8 Jul 2024 • Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju, Sameer Singh In real-world evaluations with humans, 73% of healthcare … Web会议名: 38th International Conference on Machine Learning (ICML 2024) 中译名 《第三十八届国际机器学习会议,卷1》 机构: International Machine Learning Society (IMLS)
Web1 code implementation • 8 Jul 2024 • Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju, Sameer Singh In real-world evaluations with humans, 73% of healthcare workers (e. g., doctors and nurses) agreed they would use TalkToModel over baseline point-and-click systems for explainability in a disease prediction task, and 85% of ML professionals … WebHima Lakkaraju is an Assistant Professor at Harvard University focusing on explainability, fairness, and robustness of machine learning (ML) models. …
Web23 mar 2024 · Lakkaraju, Himabindu, Julian McAuley, and Jure Leskovec. "What's in a Name? Understanding the Interplay Between Titles, Content, and Communities in Social Media." Proceedings of the International AAAI Conference on Weblogs and Social Media 7th (2013). Web25 ago 2024 · Himabindu Lakkaraju and Marco Iansiti (both HBS) will focus on the theory and practice of responsible AI for facilitating data-driven decision-making in organizations. They will explore how people use AI tools and machine learning (ML) models in …
WebHere we propose interpretable decision sets, a framework for building predictive models that are highly accurate, yet also highly interpretable. Decision sets are sets of independent if-then rules. Because each rule can be applied independently, decision sets are simple, concise, and easily interpretable. We formalize decision set learning ...
WebHimabindu (Hima) Lakkaraju is an assistant professor at Harvard University focusing on explainability, fairness, and robustness of machine learning models. She has also been … grand junction to orem utahWeb25 feb 2024 · Chirag Agarwal, Himabindu Lakkaraju, Marinka Zitnik As the representations output by Graph Neural Networks (GNNs) are increasingly employed in real-world … chinese food in demotteWebHimabindu Lakkaraju, Stephen H. Bach, Jure Leskovec. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016. Invited Talk at INFORMS Annual … grand junction to montrose coWeb22 giu 2024 · Harvard University assistant professor Himabindu Lakkaraju studies the role trust plays in human decisionmaking ... Lakkaraju and coworkers gave doctors records of roughly 2,000 patients and ... grand junction to richfield utahWeb08_19_2024. Himabindu “Hima” Lakkaraju is an Indian American computer scientist committed to making AI and machine learning (ML) more accountable and reducing bias. By ensuring people can understand the models used, she aims to facilitate decision-making and increase trust across numerous domains — while better understanding the limits ... chinese food in denham springsWeb26. 26. i10-index. 36. 34. Himabindu Lakkaraju. Assistant Professor, Harvard University. Verified email at seas.harvard.edu - Homepage. Explainable & Fair ML Adversarial … grand junction to richfieldWeb1 feb 2024 · HUMAN DECISIONS AND MACHINE PREDICTIONS Authors Jon Kleinberg 1 , Himabindu Lakkaraju 2 , Jure Leskovec 2 , Jens Ludwig 3 , Sendhil Mullainathan 4 … chinese food in delmont