Presenter: Snigdha Panigrahi, Associate Professor, Department of Statistics, University of Michigan Description:Agglomerative hierarchical clustering is one of the most widely used approaches for exploring how observations in a dataset relate […]
Presenter Chenyu You, Stony Brook University Abstract In the rapidly growing area of machine learning, there is profound promise in crafting intelligent, data-driven methods for diverse real-world applications. Yet, in […]
Presenter: Riddhiman Bhattacharya, Postdoc, UCSC Description: We propose an active learning approach for dynamic fair resource allocation problems. In contrast to prior work that assumes full feedback from all agents […]
Presenter: Marcos Calegari Andrade, Assistant Professor, Chemistry and Biochemistry, UC Santa Cruz Description: In this talk, I will demonstrate how neural networks can represent the high-dimensional potential energy surfaces of […]
Presenter: Philipp Haller, KTH Royal Institute of Technology Abstract: Distributed programming is notoriously difficult. Not only are distributed systems concurrent, they pose additional challenges including data consistency and fault tolerance. […]
Presenter: Guan’ao Yan, Assistant Professor, Michigan State University Description: Single-cell and spatial transcriptomics technologies now let us map cellular diversity and tissue organization at high resolution, but the computational methods […]
Presenter: Chris Jay Hoofnagle, Frederik Zuiderveen Borgesius, Lothar Determann, Pieter T.J. Wolters Abstract: The European Union has enacted a comprehensive cybersecurity framework (the “Framework”) that imposes far-reaching obligations on developers […]
Friday, May 15, 1:00-4:00 PM (PDT) McHenry Library | Information Commons South on the Main Floor We are delighted to invite you to the 22nd Annual Graduate Research Symposium! This […]
Presenter: Peng Ding, Associate Professor, UC Berkeley Description: I will present some recent results on unifying regression-based and design-based causal inference in time-series experiments and crossover experiments. Part I: Time-series […]
Presenter: Laura Waller, UC Berkeley Abstract: Computational imaging jointly designs hardware and algorithms to push beyond the classical limits of imaging, enabling measurement of new quantities (e.g. 3D, phase, and […]