Kelvin Kan | DeepAI

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James G. Nagy
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research

∙ 02/23/2022

Multivariate Quantile Function Forecaster

We propose Multivariate Quantile Function Forecaster (MQF^2), a global p...

0 Kelvin Kan, et al. ∙

research

∙ 11/12/2021

Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting

Quantile regression is an effective technique to quantify uncertainty, f...

10 Youngsuk Park, et al. ∙

research

∙ 12/11/2020

Avoiding The Double Descent Phenomenon of Random Feature Models Using Hybrid Regularization

We demonstrate the ability of hybrid regularization methods to automatic...

0 Kelvin Kan, et al. ∙

research

∙ 05/27/2020

PNKH-B: A Projected Newton-Krylov Method for Large-Scale Bound-Constrained Optimization

We present PNKH-B, a projected Newton-Krylov method with a low-rank appr...

0 Kelvin Kan, et al. ∙