-
AISTATS 20222022In many contexts it is useful to predict the number of individuals in some population who will initiate a particular activity during a given period. For example, the number of users who will install a software update, the number of customers who will use a new feature on a website or who will participate in an A/B test. In practical settings, there is heterogeneity amongst individuals with regard to the
-
A/B tests serve the purpose of reliably identifying the effect of changes introduced in online services. It is common for online platforms to run a large number of simultaneous experiments by splitting incoming user traffic randomly in treatment and control groups. Despite a perfect randomization between different groups, simultaneous experiments can interact with each other and create a negative impact
-
ICML 2022, UAI 2022 Workshop on Advances in Causal Inference2022We study the problem of observational causal inference with continuous treatment. We focus on the challenge of estimating the causal response curve for infrequently-observed treatment values. We design a new algorithm based on the framework of entropy balancing which learns weights that directly maximize causal inference accuracy using end-to-end optimization. Our weights can be customized for different
-
2021We present a simple and effective methodology for the generation of lexicons (word lists) that may be used in natural language scoring applications. In particular, in the finance industry, word lists have become ubiquitous for sentiment scoring. These have been derived from dictionaries such as the Harvard Inquirer and require manual curation. Here, we present an automated approach to the curation of lexicons
-
2021The authors enhance pretrained language models with Securities and Exchange Commission filings data to create better language representations for features used in a predictive model. Specifically, they train RoBERTa class models with additional financial regulatory text, which they denote as a class of RoBERTa-Fin models. Using different datasets, the authors assess whether there is material improvement
Related content
-
June 23, 2022Two-day RecSys workshop that extends the popular REVEAL to include CONSEQUENCES features Amazon organizers, speakers. -
May 16, 2022Matt Taddy, vice president of Amazon’s Private Brands business, is the coauthor of Modern Business Analytics: Practical Data Science for Decision Making, a primer for those who want to gain the skills to use data science to help make decisions in business and beyond.
-
March 22, 2022Amazon Scholar Alexandre Belloni discusses the implications of auction design on digital goods.
-
January 07, 2022Amazon Scholar David Card and Amazon academic research consultant Guido Imbens talk about the past and future of empirical economics.
-
Dave BurbankDecember 13, 2021Amazon Research Award recipient Éva Tardos studies complex theoretical questions that have far-ranging practical consequences.
-
November 17, 2021The paper by Özer and his co-authors examines the role of earmarking and transparency on donors and their donations.
-
Credits: GENEVIEVE SHIFFRAR (Card); Stanford University (Imbens)October 13, 2021Amazon Scholar David Card wins half the award, while academic research consultant Guido Imbens shares in the other half.
-
September 01, 2021Amazon’s scientists have developed a variety of scientific models to help customers get the most out of their membership.
-
Glynis CondonJuly 26, 2021In a paper published at INFORMS in 2020, the Amazon senior principal scientist and his co-authors factored in both revenue and "the expected utility to the customer from the purchase."
-
July 20, 2021The senior economist knows what it means to pursue a career path like hers, and she’s determined to help others along the way.
-
Courtesy of Muthoni NgatiaMay 03, 2021The Amazon economist says lessons from her mother taught her a lot about how the world works, and why economics plays such a vital role.
-
Credit: Yale/UPennApril 28, 2021Yale economics professor Dirk Bergemann elected to American Academy of Arts & Sciences; University of Pennsylvania computer science professor Michael Kearns elected to National Academy of Sciences.
-
April 26, 2021New method identifies which causal factors contribute most to observed changes in probability distributions.
-
April 13, 2021Their doctoral degrees help these product managers bridge the gap between business and science.
-
Credit: Bret Hartman / TEDFebruary 18, 2021The Amazon research manager was included on a list of individuals 40 and younger who are projected to play a leading role in Africa’s economic future.
-
January 11, 2021Machine learning is helping Amazon improve the grocery shopping experience in both the physical and online channels.
-
Credit: Genevieve ShiffrarJanuary 06, 2021Amazon Scholar David Card on the revolution in economic research that he helped launch and its consequences for industry.
-
Courtesy of Phil LeslieNovember 09, 2020Amazon VP and chief economist for digital streaming and advertising Phil Leslie on economists’ role in industry.
-
September 21, 2020Four economists from diverse backgrounds explain why diversity is essential, and what needs to happen to achieve it.
-
Oscar Merrida IVSeptember 21, 2020Howard University is the first Black college to host the American Economic Association Summer Training and Scholarship Program.
-
July 23, 2020Hebrew University of Jerusalem Professor Sergiu Hart discusses the research shared in two papers that were awarded the ACM SIGecom Test of Time and Doctoral Dissertation awards.
