Time Series
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3 important themes from Amazon’s 2019 NeurIPS papers
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Last year, the first 2,000-2,500 publicly released tickets to the Conference on Neural Information Processing Systems, or NeurIPS, sold out in 12 ...

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Forecasting big time series: theory and practice
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During The Web Conference in April, Amazon scientists and scholars joined external researchers, policy makers, developers and others for an all-virtual ...

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Predicting what Amazon’s customers will need tomorrow, next week, and beyond
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Ping Xu has held a variety of optimization and demand forecasting roles at Amazon for nearly 15 years. She first joined the company as a full-time employee ...

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Amazon Consumer Science Summit goes virtual
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COVID-19 has caused massive disruption around the globe. That includes the myriad of science conferences held each year. With the pandemic now forcing the ...

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How AWS scientists help create the NFL’s Next Gen Stats
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At Super Bowl LV, Tom Brady won his seventh title, in his first year as quarterback for the Tampa Bay Buccaneers, whose defense held the high-octane offense ...

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Paper on forecasting spread of COVID-19 wins best-paper award
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In December, at the NeurIPS Machine Learning in Public Health Workshop, we and our colleagues at Amazon and the University of California, San Diego, won a ...

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MLSys 2021: Bridging the divide between machine learning and systems
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Alex Smola, Amazon vice president and distinguished scientist The Conference on Machine Learning and Systems ...

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New take on hierarchical time series forecasting improves accuracy
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Time series forecasting is often hierarchical: a utility company might, for instance, want to forecast energy consumption or supply at regional, state, and ...

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Determining causality in correlated time series
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Given observed time series and a target time series of interest, can we identify the causes of the target, without excluding the presence of hidden time ...

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Improving forecasting by learning quantile functions
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The quantile function is a mathematical function that takes a quantile (a percentage of a distribution, from 0 to 1) as input and outputs the value of a ...

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