Jeff Phillips

As researchers across @UUtah build, use, & study AI, they’re uncovering high-stakes ethical questions that can’t be solved by technologists or humanists alone. They recently worked through such Qs together at a SCI-hosted workshop: bit.ly/rai-ethics

Calling @UUtah researchers across tech, humanities, & social sciences: we’ve expanded capacity for our April 3 AI + Ethics Workshop. Discover AI work beyond your field & shape new approaches to some of the most important ethical challenges of our time: luma.com/2sgzwn8t

Please join us for today's at 11 AM MST Data Science and AI lecture series to hear Varun Shankar in his talk titled "Kernel Methods for Operator Learning." We look forward to seeing you either in person or online! datascience.utah.edu/seminar.html #datascience #ai #ucdsai #ml

@sarielhp @RishiSonthalia I would call this the 2-Zipfian distribution. I guess that is if the sequence is finite.

@RishiSonthalia Thank you!

Is there a name for the following distribution on the natural numbers? For i > 0 an integer, the distribution returns i with probability (6/π^2)/i^2. The natural name would be the Basel distribution after the Basel problem, but...

Jeff M. Phillips @KahlertSoC: Mathematical Foundations for Data Analysis (2021) #SpringerSeriesintheDataScience #DataScience #CGWeek23 Print book (hard cover, 306 pages): USD34.99 🎉 until Jun 30 #Springer #YellowSale Textbook 🌿 link.springer.com/book/10.1007/9…

The Gradient Descent chapter of my book is available online. Data analysis textbook from a computational geometer’s perspective.

If you are in Leipzig, Germany, next week, please check out my talk (#full7" target="_blank" rel="nofollow noopener">conferences.eg.org/eurovis2023/fo…), on Ferret: Reviewing Tabular Datasets for Manipulation! H/T Shaurya Sahai, @probablyjeff, and @alexander_lex. 🧵 (1/8)

Congratulations to Bei Wang on her NSF career award. A Measure Theoretic Framework for Topology-Based Visualization. sci.utah.edu/the-institute/…

A chapter on Sampling and Convergence of my book (Mathematical Foundations for Data Analysis, mathfordata.github.io) is free through Jan 15.

Congratulations to @UUtah's @keviv9 (from @UtahSoC & @UUDataScience) on being named one of the 2021-2022 @Bloomberg #DataScience Ph.D. Fellows! Learn more about his research focus and the other Fellows in this year's cohort: bloom.bg/3phKjr1 #AI #ML #NLProc

Multiple open-rank tenure track positions at University of Utah (apply by January 15, 2022) ift.tt/3BiZv9K

It's time to stop making t-SNE & UMAP plots. In a new preprint w/ Tara Chari we show that while they display some correlation with the underlying high-dimension data, they don't preserve local or global structure & are misleading. They're also arbitrary.🧵biorxiv.org/content/10.110…

Introduction to Data Science Club : cs.utah.edu/introduction-t… @UUDataScience @UtahSoC @UUtah

The #wasatch don't disappoint, even on a Thursday.

Excited to be featured on the @compcomcon blog and webpage for my work as a CI Fellow! cra.org/ccc/towards-fa…

Here’s our tutorial webpage from #AAAI2021 sci.utah.edu/~beiwang/aaaib… for ‘ A Visual Tour of Bias Mitigation Techniques in Word Representations’ @probablyjeff @RathoreArchit @BeiWangPhillips @viveksrikumar #aaai

Congrats to my student @sunipa17 and all of the other 2020 CI Fellows!

Orientation-Preserving Vectorized Distance Between Curves ift.tt/2PgZKwu

3/3 It’s a balanced approach of bias mitigation and information retention. Our intrinsic and extrinsic evaluations on gender-occupation bias show it performs on par with different projective methods while retaining more coherent information.

2/3 Projective debiasing can be too aggressive as it removes extra information that should actually be preserved. To address this, we propose a graded rotation operation to correct and rectify biases in embedding space (GloVe/RoBERTa).