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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…

ChatGPT not best at many language tasks. It's outranked by other systems on many NLP benchmarks in current evaluation. For 77.5% of tasks examined, other systems are better than ChatGPT. opensamizdat.com/posts/chatgpt_…

Big news! decisioncurveanalysis.org has been completely updated and revamped. Code, tutorials, guides, bibliographies, videos and more! Amazing job by Shaun Daniel Sjoberg

ICYMI: We're welcoming applications for Assist/Assoc Prof faculty position Harvard Medical School & Mass General, Associate Director Center for Precision Psychiatry & Tommy Fuss Endowed Chair in Precision Psychiatry! cc: ISPG AMIA PGC Consortium CDC Genomics & Precision Health Precision Medicine Forum American Psychiatric Association

This is a Yihui Xie appreciation post #rstats, please join me in sponsoring Yihui Xie on GitHub github.com/sponsors/yihui (Context: yihui.org/en/2024/01/bye…) 1/n 🧵(or shall I say 🧶)

More than 50% of the reported reasoning abilities of LLMs might not be true reasoning. How do we evaluate models trained on the entire internet? I.e., what novel questions can we ask of something that has seen all written knowledge? Below: new eval, results, code, and paper.

casualinfer.libsyn.com/targeted-learn…

What's the best YIMBY book or other persuasion resource? A relative just relayed that he & fam are organizing their neighbors to oppose a high-density downtown housing development in coastal NJ due to inadequate parking (1 space/unit)... cc: Jonathan Robinson David Broockman Alexander Sahn

“All models are wrong and yours are useless: making clinical prediction models impactful for patients” nature.com/articles/s4169… Lot of great points here! You may have heard a few of these from me the past few years, particularly about using multiomics for clinical prediction

My boring 2 cents on last night: read this paper by Le Pennec and Vincent Pons before arriving at any far-reching conclusions. vincentpons.org/tvdebates

Really excited about this paper, w/ amazing postdoc Alex Levis awlevis.com/about/ We propose conditional potential benefit (CPB) measure, ie the improvement under optimal trt vs status quo We describe id assumptions & propose nonparametric, robust, & efficient estimators

Join Machine Learning for Estimating Causal Effects w/ Ashley Isaac Naimi on Aug. 6-9. Learn to use cutting-edge "double-robust" #machinelearning methods to estimate treatment effects, minimize biases, & avoid problems like the “curse of dimensionality.”

“Why use the Oxford comma?”

Excited by Jarosław Błasiok et al.'s recent work with Apple on calibration estimation in ML models; should be examined closely for healthcare analytics. doi.org/10.1145/356424… "A Unifying Theory of Distance from Calibration" and arxiv.org/abs/2309.12236

Some people today are discouraging others from learning programming on the grounds AI will automate it. This advice will be seen as some of the worst career advice ever given. I disagree with the Turing Award and Nobel prize winner who wrote, “It is far more likely that the

😭 So dark

In Vienna for the International Association for Suicide Prevention conference - giving a talk on machine learning with suicide risk assessment data tomorrow at noon. Would be glad to get coffee and hear what others are working on & thinking about. #iasp2025

Super informative and inspiring presentation by Kristen Quinlan, Ph.D. on the US National Strategy for Suicide Prevention, and appreciated the related presentations for Estonia & Ireland, & the systematic review #iasp2025