Search Results for author: Andrew McDonald

Found 5 papers, 3 papers with code

DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data

1 code implementation5 May 2022 Asadullah Hill Galib, Andrew McDonald, Tyler Wilson, Lifeng Luo, Pang-Ning Tan

Accurate forecasting of extreme values in time series is critical due to the significant impact of extreme events on human and natural systems.

Time Series Time Series Analysis

COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence

1 code implementation2 May 2022 Andrew McDonald, Pang-Ning Tan, Lifeng Luo

In particular, existing normalizing flow architectures struggle to model multivariate extremes, characterized by heavy-tailed marginal distributions and asymmetric tail dependence among variables.

Online Estimation and Coverage Control with Heterogeneous Sensing Information

1 code implementation28 Jun 2021 Andrew McDonald, Lai Wei, Vaibhav Srivastava

In this paper, we address the problem of multi-robot online estimation and coverage control by combining low- and high-fidelity data to learn and cover a sensory function of interest.

Multi-Robot Gaussian Process Estimation and Coverage: A Deterministic Sequencing Algorithm and Regret Analysis

no code implementations12 Jan 2021 Lai Wei, Andrew McDonald, Vaibhav Srivastava

Modeling the sensory field as a realization of a Gaussian Process and using Bayesian techniques, we devise a policy which aims to balance the tradeoff between learning the sensory function and covering the environment.

Learning With Dataset Bias in Latent Subcategory Models

no code implementations CVPR 2015 Dimitris Stamos, Samuele Martelli, Moin Nabi, Andrew McDonald, Vittorio Murino, Massimiliano Pontil

However, previous work has highlighted the possible danger of simply training a model from the combined datasets, due to the presence of bias.

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