Tags: General event


TN Sriram

Robust Recovery of the Central Subspace for Regression Using the Influence Function of the Renyi Divergence Abstract: A considerable amount of research in the literature has focused on quantifying the effect of extreme observations on classical methods for estimating the Central Subspace (CS) for regression through the study of influence functions and their sample estimates. Alternatively, a method that is inherently robust to data contamination…


Ching-Yu Huang

Got it?! Using Active Learning Techniques to Assess Student Learning Just in Time  Abstract: Explore how and why active learning techniques can enhance student engagement, collaboration, and reflection. In this workshop, we’ll discuss what an active learning course looks like from the instructor’s perspective across various disciplines. You’ll also experience and discuss a collection of active learning techniques- simple, easy to implement…


Tianming Liu

Unlock Brain Architectures to Harness AI and Model Neurologic Diseases Abstract: The human brain is an intricate generative system that segregates, integrates, and executes diverse functions seamlessly. Unlocking and representing the brain’s structural and functional architectures hold fundamental significance for neuroscience, healthcare of brain diseases, and brain-inspired artificial intelligence (AI), particularly generative AI (GenAI). This…


Departmental Orientation for all New Graduate Students


Departmental Orientation for all Teaching Assistants


Daniela M. Witten

Agenda: 3:30 - 4:00pm - Arrival 4:00 - 4:05pm - Opening Remarks, Brooks Hall 145 4:05 - 5:00pm - Lecture, Dr. Daniela Witten, University of Washington, Brooks Hall 145  5:00 - 5:30pm - Break 5:30 - 7:00pm - Dinner, Founders Memorial Garden 7:05 - 7:45pm - After Dinner Talk, Dr. Daniela Witten. Brooks Hall 145 Biography: Dr. Daniela Witten is a professor of Statistics and Biostatistics at University of Washington, and the Dorothy Gilford…


Hani Safadi

Validation Criteria for Computationally Intensive Theory Construction Abstract: Computationally intensive theory construction (CITC) combines computational techniques with traditional quantitative and qualitative techniques to identify patterns in data and generate theoretical insights from those patterns. While guidelines exist for methodological approaches in CITC, the open-ended and exploratory nature of the genre presents challenges in terms…


Prospective Graduate Student Visitation Day

   


Capstone Poster Session

The annual Capstone Poster Session is set for Tuesday, 23 Apr 2024, 4-5 PM.


Megan Mittelstadt

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