Stephen Bates
@stats_stephen
Assistant Professor, MIT EECS. Rigorous stats & ML methods for data-driven science and reliable AI systems. My research group is hiring postdocs & PhDs!
📰 Excited to share our new work on risk control in prediction! Multiple testing leads to practical calibration algorithms with PAC guarantees for any statistical error rate. Works with any model + data distribution! arxiv.org/abs/2110.01052 #Statistics #MachineLearning
Thrilled to share Learn then Test, a tool to calibrate any model to control risk (eg. IOU, recall in object detection). No assns on model/data. See arXiv arxiv.org/abs/2110.01052 + Colab colab.research.google.com/github/aangelo… ✍️w/@stats_stephen, E.J. Candes, M.I. Jordan, @lihua_lei_stat! 🧵1/n
Today, NSF announced an add’l 500 NSF Graduate Research Fellowship Program awardees for the 2025-2026 cohort, bringing the total to approx 1,500. #NSFGRFP supports grad students as they pursue their dreams, build STEM skills, & become the next generation of innovators & leaders.
📢If you're interested in conformal prediction, algorithms w/predictions, robust stats & connections between them from a theory perspective, join us for a workshop at #COLT2025 in Lyon 🇫🇷 June 30! Submit a poster description by May 25, more here: vaidehi8913.github.io/predictions-an…
Imagine a world without MIT.
Our paper notifications are out! Congratulations to the authors and look forward to an exciting lineup of discussions. Stay tuned for more details! #ICLR2025
We're organzing the "Quantify Uncertainty and Hallucination in Foundation Models" workshop at #ICLR2025! 📢 Call for Papers: Submit your work by February 2, 2025 (AOE). 🔗 More details: …certainty-foundation-models.github.io Look forward to seeing your submission and participation in the…
🙌🎉Our 2025 recipient of the COPSS Presidents' Award, is Lester Mackey! This award is given annually to a young member of the statistical community in recognition of outstanding contributions to the profession of statistics.
📢 We are hiring a postdoc to work on remote sensing of soil carbon and land degradation! 🌱🗺️ The position will be hosted by the Earth Intelligence Lab & @mitenergy, with an earliest start date of April 2025. To apply: forms.gle/9iDJRX4nG7odXJ…
What are prediction sets good for? It turns out just as calibration is the "right" way of quantifying uncertainty for risk-neutral (expectation maximizing) decision makers, prediction sets are the right way of quantifying uncertainty for risk-averse decision makers.
We're organzing the "Quantify Uncertainty and Hallucination in Foundation Models" workshop at #ICLR2025! 📢 Call for Papers: Submit your work by February 2, 2025 (AOE). 🔗 More details: …certainty-foundation-models.github.io Look forward to seeing your submission and participation in the…
The workshop submission portal is now live: openreview.net/group?id=ICLR.… Looking forward to all the exciting works on hallucinations/uncertainty/out-of-distribution performance on large models. with @SharonYixuanLi @ml_angelopoulos @stats_stephen @barbara_plank @EmtiyazKhan
Can we trust LLMs that confidently generate text but overlook their own hallucinations/limitations? Let's find out in our new workshop in @iclr_conf : 🚨 ICLR workshop on Uncertainty and Hallucination on LLMs ➡️ …certainty-foundation-models.github.io 1/2
I have an opening for a two year postdoc position at Harvard. The application link: academicpositions.harvard.edu/postings/14420
Excited to share that my work on VI-VS (Variational Inference for Variable Selection) has finally been published in Genome Biology, and is available as a Python package! genomebiology.biomedcentral.com/articles/10.11…
I'm seeking a postdoc to work with me and @d19fe8 on evaluating AI/ML decision support for human experts: statmodeling.stat.columbia.edu/2024/12/10/pos… P.S. I'll be at NeurIPS Thurs-Mon. Happy to talk about this position or related mutual interests! Please retweet! 🙏