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    Latest Past Events

    Revisiting Scalarization in Multi-Task Learning | Prof. Han Zhao

    Halıcıoğlu Data Science Institute (HDSI), Room 123, 3234 Matthews Ln, La Jolla, CA, 92093, United States

    Title: Revisiting Scalarization in Multi-Task Learning Abstract: Linear scalarization, i.e., combining all loss functions by a weighted sum, has been the default choice in the literature of multi-task learning (MTL) since its inception. In recent years, there has been a surge of interest in developing Specialized Multi-Task Optimizers (SMTOs) that treat MTL as a multi-objective optimization problem. […]

    HDSI Seminar – Maksim Kitsak -Modeling and Inference of Complementarity Mechanisms in Networks.

    Halıcıoğlu Data Science Institute, 3234 Matthews Ln, La Jolla, CA 92093, USA Room 123

    Talk Information: When Wednesday Oct 30th 1:00pm Where: HDSI MPR 123 Zoom Info: http://bit.ly/HDSI-Seminars Title: Modeling and Inference of Complementarity Mechanisms in Networks. Abstract: "In many networks, including networks of protein-protein interactions, interdisciplinary collaboration networks, and semantic networks, connections are established between nodes with complementary rather than similar properties. What is complementarity? The Oxford Dictionary asserts that […]

    Deep Learning: a Non-parametric Statistical Viewpoint

    Atkinson Hall, Fourth Floor

    ABSTRACT The advent of deep learning has completely revolutionized how we perceive data to obtain superhuman performance across all fields of modern science. However, despite the remarkable empirical successes of deep learners, the theoretical guarantees for their statistical accuracy remain rather pessimistic. In particular, the data distributions on which deep learners are generally applied, such […]