title: Embodied engagement in arts research

authors: Barbour, Karen

subjects: arts research

abstract: The focus of this paper is to argue the case for embodied ways of knowing in arts research. Recognition of embodied ways of knowing and embodied research has been relatively recent. For too long, arts research had been marginalized in academia, particularly performing arts, due in part to the somatophobia of Western academic cultures. While grounded in dance research myself, I argue that embodied engagement is crucial for performing arts and arts research in general. It is through rigorous and reflective practice that theoretical knowledges and lived experiences can be embodied, made meaningful, and thus contribute to the generation of new understandings. I contend that such embodied knowledge is then available to artists and researchers for subsequent expression and aesthetic communication via a wide range of mediums and interdisciplinary practices. I discuss embodied ways of knowing and suggest some guidelines for undertaking embodied research. I conclude by emphasizing the continuing relevance of performing arts in expressing individual human embodied experience in an increasingly virtual, self-destructive and global world.

text: Embodied engagement in arts research The focus of this paper is to argue the case for embodied ways of knowing in arts research. Recognition of embodied ways of knowing and embodied research has been relatively recent. For too long, arts research had been marginalized in academia, particularly performing arts, due in part to the somatophobia of Western academic cultures. While grounded in dance research myself, I argue that embodied engagement is crucial for performing arts and arts research in general. It is through rigorous and reflective practice that theoretical knowledges and lived experiences can be embodied, made meaningful, and thus contribute to the generation of new understandings. I contend that such embodied knowledge is then available to artists and researchers for subsequent expression and aesthetic communication via a wide range of mediums and interdisciplinary practices. I discuss embodied ways of knowing and suggest some guidelines for undertaking embodied research. I conclude by emphasizing the continuing relevance of performing arts in expressing individual human embodied experience in an increasingly virtual, self-destructive and global world.

year: 2006

title: High-throughput machine learning algorithms

authors: Mitchell, Rory

subjects: thesis with publication

abstract: The field of machine learning has become strongly compute driven, such that emerging research and applications require larger amounts of specialised hardware or smarter algorithms to advance beyond the state-of-the-art. This thesis develops specialised techniques and algorithms for a subset of computationally difficult machine learning problems. The applications under investigation are quantile approximation in the limited-memory data streaming setting, interpretability of decision tree ensembles, efficient sampling methods in the space of permutations, and the generation of large numbers of pseudorandom permutations. These specific applications are investigated as they represent significant bottlenecks in real-world machine learning pipelines, where improvements to throughput have significant impact on the outcomes of machine learning projects in both industry and research. To address these bottlenecks, we discuss both theoretical improvements, such as improved convergence rates, and hardware/software related improvements, such as optimised algorithm design for high throughput hardware accelerators. 

Some contributions include: the evaluation of bin-packing methods for efficiently scheduling small batches of dependent computations to GPU hardware execution units, numerically stable reduction operators for higher-order statistical moments, and memory bandwidth optimisation for GPU shuffling. Additionally, we apply theory of the symmetric group of permutations in reproducing kernel Hilbert spaces, resulting in improved analysis of Monte Carlo methods for Shapley value estimation and new, computationally more efficient algorithms based on kernel herding and Bayesian quadrature. We also utilise reproducing kernels over permutations to develop a novel statistical test for the hypothesis that a sample of permutations is drawn from a uniform distribution.

The techniques discussed lie at the intersection of machine learning, high-performance computing, and applied mathematics. Much of the above work resulted in open source software used in real applications, including the GPUTreeShap library [38], shuffling primitives for the Thrust parallel computing library [2], extensions to the Shap package [31], and extensions to the XGBoost library [6].

text: High-throughput machine learning algorithms The field of machine learning has become strongly compute driven, such that emerging research and applications require larger amounts of specialised hardware or smarter algorithms to advance beyond the state-of-the-art. This thesis develops specialised techniques and algorithms for a subset of computationally difficult machine learning problems. The applications under investigation are quantile approximation in the limited-memory data streaming setting, interpretability of decision tree ensembles, efficient sampling methods in the space of permutations, and the generation of large numbers of pseudorandom permutations. These specific applications are investigated as they represent significant bottlenecks in real-world machine learning pipelines, where improvements to throughput have significant impact on the outcomes of machine learning projects in both industry and research. To address these bottlenecks, we discuss both theoretical improvements, such as improved convergence rates, and hardware/software related improvements, such as optimised algorithm design for high throughput hardware accelerators. 

Some contributions include: the evaluation of bin-packing methods for efficiently scheduling small batches of dependent computations to GPU hardware execution units, numerically stable reduction operators for higher-order statistical moments, and memory bandwidth optimisation for GPU shuffling. Additionally, we apply theory of the symmetric group of permutations in reproducing kernel Hilbert spaces, resulting in improved analysis of Monte Carlo methods for Shapley value estimation and new, computationally more efficient algorithms based on kernel herding and Bayesian quadrature. We also utilise reproducing kernels over permutations to develop a novel statistical test for the hypothesis that a sample of permutations is drawn from a uniform distribution.

The techniques discussed lie at the intersection of machine learning, high-performance computing, and applied mathematics. Much of the above work resulted in open source software used in real applications, including the GPUTreeShap library [38], shuffling primitives for the Thrust parallel computing library [2], extensions to the Shap package [31], and extensions to the XGBoost library [6].

year: 2021

title: "Thereness": Implications of Heidegger's "presence" for Māori

authors: Mika, Carl Te Hira

abstract: For Māori, the philosophical consequences of colonization are a hugely important issue, due to both the subtlety and the omnipresence of Western metaphysics. In this article I refer to the “meta-physics of presence” through one major Western thinker—Martin Heidegger—who identified “presence” as a problem for the West. He proposes that the metaphysics of presence underpins every perception in the West and that it is the fundamental mistake of philosophers since Plato but becoming ascendant with Aristotle. I identify the points of relevance within their claims and refer them to a Māori understanding of absence. I also consider the more affective nature of Western presence, which Heidegger refers to but which must be theorized by Māori. In the first instance I place particular emphasis on the ironies implicit in writing about metaphysics for the Māori writer in the academy and for the things being represented in that writing. Finally, the metaphysics of presence opens up possibilities for its own instability; this Heideggerean “saving power” is discussed in Māori terms.

text: "Thereness": Implications of Heidegger's "presence" for Māori For Māori, the philosophical consequences of colonization are a hugely important issue, due to both the subtlety and the omnipresence of Western metaphysics. In this article I refer to the “meta-physics of presence” through one major Western thinker—Martin Heidegger—who identified “presence” as a problem for the West. He proposes that the metaphysics of presence underpins every perception in the West and that it is the fundamental mistake of philosophers since Plato but becoming ascendant with Aristotle. I identify the points of relevance within their claims and refer them to a Māori understanding of absence. I also consider the more affective nature of Western presence, which Heidegger refers to but which must be theorized by Māori. In the first instance I place particular emphasis on the ironies implicit in writing about metaphysics for the Māori writer in the academy and for the things being represented in that writing. Finally, the metaphysics of presence opens up possibilities for its own instability; this Heideggerean “saving power” is discussed in Māori terms.

year: 2015