IDSS Academic Programs Elijah Pivo
SES Dissertation Defense
A Holistic Approach for the Simulation, Evaluation, and Design of Organ Transplantation Policies in the US
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Statistics and Data Science Seminar Series Edgar Dobriban
How to Use Synthetic Data for Improved Statistical Inference?
Abstract: The rapid proliferation of high-quality synthetic data -- generated by advanced AI models or collected as auxiliary data from related tasks -- presents both opportunities and challenges for statistical inference. Here, we introduce the GEneral Synthetic-Powered Inference (GESPI) framework that wraps around any statistical inference procedure to safely enhance sample efficiency by combining synthetic…
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IDSS Academic Programs John 'Chris' Hays
SES + Stats Dissertation Defense
Statistics and Strategic Behavior in Algorithmically Mediated Systems
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Statistics and Data Science Seminar Series Jon Kleinberg
Formal Models of Language Generation
Abstract: The emergence of large language models has prompted a surge of interest into theoretical models that might give us insight into both their successes and their shortcomings. We'll give an overview of recent work in this direction, focusing on a surprising line of positive results that shows it is possible to give guarantees for…
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SES Dissertation Defense
Elijah Pivo (IDSS)
E18-304
A Holistic Approach for the Simulation, Evaluation, and Design of Organ Transplantation Policies in the US
How to Use Synthetic Data for Improved Statistical Inference?
Edgar Dobriban (University of Pennsylvania - Wharton School)
E18-304
Abstract: The rapid proliferation of high-quality synthetic data -- generated by advanced AI models or collected as auxiliary data from related tasks -- presents both opportunities and challenges for statistical inference. Here, we introduce the GEneral Synthetic-Powered Inference (GESPI) framework that wraps around any statistical inference procedure to safely enhance sample efficiency by combining synthetic…
SES + Stats Dissertation Defense
John 'Chris' Hays (IDSS)
45-792
Statistics and Strategic Behavior in Algorithmically Mediated Systems
Formal Models of Language Generation
Jon Kleinberg (Cornell University)
E18-304
Abstract: The emergence of large language models has prompted a surge of interest into theoretical models that might give us insight into both their successes and their shortcomings. We'll give an overview of recent work in this direction, focusing on a surprising line of positive results that shows it is possible to give guarantees for…
