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  • title: Scalable Gaussian Process Regression Via Median Posterior Inference for Estimating Multi-Pollutant Mixture Health Effects
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            Scalable Gaussian Process Regression Via Median Posterior Inference for Estimating Multi-Pollutant Mixture Health Effects
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            Scalable Gaussian Process Regression Via Median Posterior Inference for Estimating Multi-Pollutant Mixture Health Effects

            Dec 6, 2020

            Speakers

            BC

            Brent Coull

            Speaker · 0 followers

            JL

            Junwei Lu

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            JS

            Joel Schwartz

            Speaker · 0 followers

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            N2
            N2

            NeurIPS 2020

            Account · 11.3k followers

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            Medicine & Health

            Category · 529 presentations

            About NeurIPS 2020

            Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting.

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