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Parametric Complexity Bounds for Approximating PDEs with Neural Networks. (arXiv:2103.02138v1 [cs.LG])

Science, Statistics March 4, 2021 E-print Repository

Recent empirical results show that deep networks can approximate solutions to high dimensional PDEs, seemingly escaping the curse of dimensionality. However many open questions remain regarding the theoretical basis for

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Two-Stage Framework for Seasonal Time Series Forecasting. (arXiv:2103.02144v1 [cs.LG])

Science, Statistics March 4, 2021 E-print Repository

Seasonal time series Forecasting remains a challenging problem due to the long-term dependency from seasonality. In this paper, we propose a two-stage framework to forecast univariate seasonal time series. The

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Ridge-penalized adaptive Mantel test and its application in imaging genetics. (arXiv:2103.02156v1 [stat.ME])

Science, Statistics March 4, 2021 E-print Repository

We propose a ridge-penalized adaptive Mantel test (AdaMant) for evaluating the association of two high-dimensional sets of features. By introducing a ridge penalty, AdaMant tests the association across many metrics

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To Deconvolve, or Not to Deconvolve: Inferences of Neuronal Activities using Calcium Imaging Data. (arXiv:2103.02163v1 [q-bio.NC])

Science, Statistics March 4, 2021 E-print Repository

With the increasing popularity of calcium imaging data in neuroscience research, methods for analyzing calcium trace data are critical to address various questions. The observed calcium traces are either analyzed

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Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. (arXiv:2103.02164v1 [cs.LG])

Science, Statistics March 4, 2021 E-print Repository

Forecasting on sparse multivariate time series (MTS) aims to model the predictors of future values of time series given their incomplete past, which is important for many emerging applications. However,

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Parsimonious Inference. (arXiv:2103.02165v1 [stat.ML])

Science, Statistics March 4, 2021 E-print Repository

Bayesian inference provides a uniquely rigorous approach to obtain principled justification for uncertainty in predictions, yet it is difficult to articulate suitably general prior belief in the machine learning context,

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Minimax MSE Bounds and Nonlinear VAR Prewhitening for Long-Run Variance Estimation Under Nonstationarity. (arXiv:2103.02235v1 [econ.EM])

Science, Statistics March 4, 2021 E-print Repository

We establish new mean-squared error (MSE) bounds for long-run variance (LRV) estimation, valid for both stationary and nonstationary sequences that are sharper than previously established. The key element to construct

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Meta-Learning with Variational Bayes. (arXiv:2103.02265v1 [cs.LG])

Science, Statistics March 4, 2021 E-print Repository

The field of meta-learning seeks to improve the ability of today’s machine learning systems to adapt efficiently to small amounts of data. Typically this is accomplished by training a system

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Asymptotic approximation of the likelihood of stationary determinantal point processes. (arXiv:2103.02310v1 [math.ST])

Science, Statistics March 4, 2021 E-print Repository

Continuous determinantal point processes (DPPs) are a class of repulsive point processes on $\mathbb{R}^d$ with many statistical applications. Although an explicit expression of their density is known, this expression is

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Discussion of ‘Estimating time-varying causal excursion effect in mobile health with binary outcomes’ by T. Qian et al. (arXiv:2103.02323v1 [stat.ME])

Science, Statistics March 4, 2021 E-print Repository

We discuss the recent paper on “excursion effect” by T. Qian et al. (2020). We show that the methods presented have close relationships to others in the literature, in particular

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Recent Posts

  • Implementation of Quantum Machine Learning for Electronic Structure Calculations of Periodic Systems on Quantum Computing Devices. (arXiv:2103.02037v1 [physics.comp-ph]) March 4, 2021
  • Parametric Complexity Bounds for Approximating PDEs with Neural Networks. (arXiv:2103.02138v1 [cs.LG]) March 4, 2021
  • Two-Stage Framework for Seasonal Time Series Forecasting. (arXiv:2103.02144v1 [cs.LG]) March 4, 2021
  • Ridge-penalized adaptive Mantel test and its application in imaging genetics. (arXiv:2103.02156v1 [stat.ME]) March 4, 2021
  • Preliminaries on the Accurate Estimation of the Hurst Exponent Using Time Series. (arXiv:2103.02091v1 [eess.SP]) March 4, 2021

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2 3 A. Alfonso Albero A. Artamonov A. Bay ALICE Collaboration ATLAS Collaboration B. Adeva C.A. Aidala C. Abellán Beteta CMS Collaboration E. Aslanides F. Alessio F. Archilli F.~Bianchi G. Alkhazov Germany I. Bediaga I. Belyaev J. Albrecht J.J. Back K. Azizi K. Belous LHCb collaboration: R. Aaij M. Adinolfi M. Alexander M. Artuso M. Atzeni M. Bartolini P. Alvarez Cartelle R. A. Briere R.J. Barlow Raghunath Sahoo S. Akar S. Amato S. Bachmann S. Barsuk Ulf-G. Meißner USA V. Balagura W. Baldini W. Barter Wei Wang Y. Amhis Z. Ajaltouni

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