Reposted by Tamara BroderickThomas Dietterich @tdietterich.bsky.social · 01/10/2026Corrected link: blog.arxiv.org/2026/10/01/u...blog.arxiv.orgFair Moderation, Equitable Access, and AI: arXiv’s Updated Rate Limit PolicyarXiv, and the scientific community at large, are facing a watershed moment. Scholarly publishing is currently changing at a rapid pace, and we are seeing a… 081
Reposted by Tamara BroderickThomas Dietterich @tdietterich.bsky.social · 01/10/2026Attention arXiv authors. Because of the exponential increase in submissions, arXiv is limiting the number of papers that a person can submit each month to two. blog.arxiv.org/2025/10/31/a...blog.arxiv.orgAttention Authors: Updated Practice for Review Articles and Position Papers in arXiv CS CategoryarXiv’s computer science (CS) category has updated its moderation practice with respect to review (or survey) articles and position papers. Before being… 511331
Tamara Broderick @tamarabroderick.bsky.social · 28/07/2026I am a huge fan of Jacob Bien's amazing JSM (Joint Statistical Meetings) scheduler: jsmscheduler.com Thanks also to Yibin Xiong and Ronak Upadhyaya for their contributions to it over the years!jsmscheduler.comJSM SchedulerBuild a personalized JSM 2026 schedule starting with the talks of people in your citation network. 042
Tamara Broderick @tamarabroderick.bsky.social · 17/07/2026Here's a screenshot (from this morning) from fire.airnow.gov; the gray shapes show the smoke plume extent. It looks like there's some spread as far as Atlanta. 011
Tamara Broderick @tamarabroderick.bsky.social · 15/07/2026Congratulations! Cornell is lucky to hire you! 130
Reposted by Tamara BroderickDiana Cai @dianarycai.bsky.social · 15/07/2026I’m joining Cornell as an Assistant Professor in Computer Science this fall! My group will work on probabilistic machine learning for scientific discovery. I’m recruiting PhD students to start in Fall 2027 -- and stay tuned for postdoc opportunities! 5707
Reposted by Tamara BroderickElizabeth Wood, PhD @lizbwood.bsky.social · 07/07/2026We are hiring at @jura.bsky.social both on the ML team (worldwide) and the wetlab team (Boston). Please get in touch if you've been thinking about it. ⏩ careers@jurabio.com 083
Tamara Broderick @tamarabroderick.bsky.social · 13/05/2026And don't miss this great writeup about why it all matters. 020
Tamara Broderick @tamarabroderick.bsky.social · 12/05/2026First authors are the amazing Renato Berlinghieri and David Burt. Fantastic collaborators are Paolo Giani and Arlene Fiore. Full paper is here: journals.ametsoc.org/view/journal...journals.ametsoc.org 110
Tamara Broderick @tamarabroderick.bsky.social · 12/05/2026Thanks to MIT CS3 for this Q&A about our recent paper on hourly air pollution forecast evaluation! (We find existing forecasts aren't that great, but there's a lot of room for improvement.) 151
Tamara Broderick @tamarabroderick.bsky.social · 09/02/2026I am very behind the times, but this read was fantastic. Thanks for sharing! 010
Tamara Broderick @tamarabroderick.bsky.social · 09/02/2026This work builds on our cool previous work on sensitivity of data-analysis conclusions to dropping a super small fraction of data (led by the amazing Ryan Giordano and @economeager.bsky.social ): arxiv.org/abs/2011.14999 github.com/rgiordan/AMI... github.com/rgiordan/zam...arxiv.orgAn Automatic Finite-Sample Robustness Metric: When Can Dropping a Little Data Make a Big Difference?Study samples often differ from the target populations of inference and policy decisions in non-random ways. Researchers typically believe that such departures from random sampling -- due to changes i... 020
Tamara Broderick @tamarabroderick.bsky.social · 09/02/2026Shared first authors are my awesome PhD students Jenny Huang and Yunyi Shen. This work is with our fantastic collaborator Dennis Wei and will be appearing at ICLR 2026. The paper itself can be found here: arxiv.org/abs/2508.11847arxiv.orgDropping Just a Handful of Preferences Can Change Top Large Language Model RankingsWe propose a method for evaluating the robustness of widely used LLM ranking systems -- variants of a Bradley--Terry model -- to dropping a worst-case very small fraction of preference data. Our appro... 110
Tamara Broderick @tamarabroderick.bsky.social · 09/02/2026I’m excited that MIT News covered our new paper on robustness of popular LLM rankings! We find that dropping just 2 out of 57,477 matches can change the top-ranked model on Chatbot Arena (based on historical preference data shared by Chatbot Arena on Hugging Face). news.mit.edu/2026/study-p...news.mit.eduStudy: Platforms that rank the latest LLMs can be unreliableThe results of popular LLM ranking platforms can be skewed by just a few data points, possibly providing an unreliable report about which LLM would perform best in real situations, according MIT resea... 142
Reposted by Tamara BroderickGenAI in Genomics (Gen²) Workshop @ ICLR 2026 @gen2workshop.bsky.social · 12/01/2026🚨🧪 Announcing our #ICLR2026 Workshop, Generative AI in Genomics (Gen2): Barriers and Frontiers! @iclr-conf.bsky.social 📣Call for: Full workshop papers (5-8 pages) and Tiny papers (2-4 pages) 📅Submission deadline: 7 February 2026 AoE 🌐Learn more: genai-in-genomics.github.io (1/7) 143
Reposted by Tamara BroderickGenAI in Genomics (Gen²) Workshop @ ICLR 2026 @gen2workshop.bsky.social · 12/01/2026Organized by: @tamarabroderick.bsky.social, @vdebortoli.bsky.social, @pinard.bsky.social, @arnauddoucet.bsky.social, Dongshunyi "Dora" Li, Maria Skoularidou, Renzo Soatto, and Max Welling @amlab.bsky.social Feel free to reach out if you’d like to be involved! Stay tuned for more updates! (7/7) 021
Tamara Broderick @tamarabroderick.bsky.social · 12/12/2025If you're asking about the link to the paper itself, it can be found here on the arxiv: arxiv.org/pdf/2502.06067 It just appeared at NeurIPS 2025. 130
Tamara Broderick @tamarabroderick.bsky.social · 12/12/2025Shared first authors are my amazing postdoc David Burt and fantastic PhD student @renberlinghieri.bsky.social . Work is with our wonderful collaborator Stephen Bates. 010
Tamara Broderick @tamarabroderick.bsky.social · 12/12/2025Our work shows that existing confidence intervals can provide way less than nominal coverage (sometimes near 0) in spatial association settings, but we provide a new method that achieves nominal coverage across our experiments. 120
Tamara Broderick @tamarabroderick.bsky.social · 12/12/2025Scientists are often interested in understanding an association like how much air pollution exposure varies with proximity to a highway. And data (e.g. air pollution sensors) may not be available exactly where they want to estimate the association. 130
Tamara Broderick @tamarabroderick.bsky.social · 12/12/2025I’m excited that MIT News covered our new paper on confidence intervals for associations in spatial settings! news.mit.edu/2025/new-met...news.mit.eduNew method improves the reliability of statistical estimationsMIT researchers developed a method that generates more accurate uncertainty measures for certain types of estimation. This could help improve the reliability of data analyses in areas like economics, ... 2237
Reposted by Tamara BroderickRafe Meager (they/them) @economeager.bsky.social · 12/12/2025Kudos to the researchers who retracted once they realised their results hinged on a single point. To check this in your own work, for small fractions of your data set (not just single points), check out our R package! cc @tamarabroderick.bsky.social (ryan not on here?) github.com/rgiordan/zam...github.comGitHub - rgiordan/zaminfluence: Tools in R for computing and using Z-estimator approximate influence functions.Tools in R for computing and using Z-estimator approximate influence functions. - rgiordan/zaminfluence 2182
Tamara Broderick @tamarabroderick.bsky.social · 26/11/2025Big thanks to @natematias.bsky.social for this extremely touching and kind post about some of our research! (Amazing co-first authors are my PhD student @renberlinghieri.bsky.social and postdoc David Burt, and awesome collaborators are Paolo Giani and Arlene Fiore.) 073
