-
GCPR 20222022Generation of photo-realistic images, semantic editing and representation learning are only a few of many applications of high- resolution generative models. Recent progress in GANs have established them as an excellent choice for such tasks. However, since they do not provide an inference model, downstream tasks such as classification cannot be easily applied on real images using the GAN latent space.
-
2022Generating expressive and contextually appropriate prosody remains a challenge for modern text-to-speech (TTS) systems. This is particularly evident for long, multi-sentence inputs. In this paper, we examine simple extensions to a Transformer-based FastSpeech-like system, with the goal of improving prosody for multi-sentence TTS. We find that long context, powerful text features, and training on multi-speaker
-
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
Related content
-
February 28, 2023How the former astrobiology professor is charting new territory as a scientist for Amazon Flex. -
Courtesy of Pai-Ling YinFebruary 08, 2023How her background helps her manage a team charged with assisting internal partners to answer questions about the economic impacts of their decisions.
-
December 09, 2022Amazon provided funding for two-week workshop led by Nobel Prize winner Thomas Sargent.
-
Courtesy of Texas A&MOctober 17, 2022Tatevik Sekhposyan, Amazon Scholar and Texas A&M University professor, enjoys the flexibility of economics and how embracing uncertainty can enhance prediction.
-
September 13, 2022Paper introduces a unified view of the learning-to-bid problem and presents AuctionGym, a simulation environment that enables reproducible validation of new solutions.
-
August 05, 2022How the Amazon Supply Chain Optimization Technologies principal economist uses his expertise in time series econometrics to forecast aggregate demand.
-
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.
