Bryan Wilder
@brwilder
Assistant Professor @mldcmu | ML + optimization + public health
CMU is hosting a workshop on Human-AI Complementarity for Decision Making this September! Abstract submissions due July 15, travel will be covered for accepted presenters. cmu.edu/ai-sdm/researc…
We show LLMs often fail to reason causally on narratives, relying on heuristics like event order or memorized facts rather than context. Failures can be mitigated by explicitly extracting the underlying causal graph rather than direct textual reasoning. arxiv.org/abs/2410.23884
Should LLMs be used to review papers? AAAI is piloting LLM-generated reviews this year. I wrote a blog post arguing that using LLMs as reviewers can have bad consequences for science by centralizing judgments about what constitutes good research. bryanwilder.github.io/files/llmrevie…
I'm also on bsky now! Same username, @brwilder. If you're getting started there, I'm a fan of @JessicaHullman's starter pack for Algorithmic Decision-Making: bsky.app/starter-pack-s…
Can you believe it's already the final day of #EAAMO2024? Today, we're kicking off with a @JPAL panel that brings an innovative focus on how research can drive public policy to create real-world impact, especially when working closely with local and indigenous communities. 🌍
🧵1/5 In response to @NeelNanda5 and @StephenLCasper's recent work, I published a blog post on how mechanistic interpretability tools can unlock GenAI's potential in high-stakes domains like healthcare. 🚀 See thread below: lesswrong.com/posts/iDyf7aBd…
🚀 <24 hours to go until #EAAMO2024 kicks off! We can't wait to welcome you to @LaUASLP tomorrow, whether you'll be joining us in person or virtually. Conference information can be found at - conference.eaamo.org/conference_inf… Looking forward to 3 days of insightful collaboration! 💡
Quantifying AI uncertainty & reasoning about sets of outcomes impt. for high-stakes decisions. Enjoyed collab. w/ @sancortes_95, @brwilder & colleagues on "backing the utility structure of diagnosis" into the learning process: Studies show significant reduction of decision loss.
Excited to share our latest work, where we produce sets with both statistical coverage and high decision utility. Applied to dermatological diagnosis, our method yields sets with coherent diagnostic meaning 🏥. More details in the thread 🧵👇
Excited to share our latest work, where we produce sets with both statistical coverage and high decision utility. Applied to dermatological diagnosis, our method yields sets with coherent diagnostic meaning 🏥. More details in the thread 🧵👇
I'm thrilled to share that I'll start as an Assistant Professor at @Columbia IEOR in July 2025!! My lab will continue to push research on AI + OR for biodiversity, planetary health, and social impact. Until then, I'll be a postdoc at @UniofOxford with @t8el and @NatureRecovery.
Check out Emily's thread for a summary of our AISTATS paper!
Estimating notions of unfairness/inequity is hard as it requires that data captures all features that influenced decision-making. But what if it doesn't? In our work (arxiv.org/abs/2403.14713), we answer this question w/ @dylanjsam @MichaelOberst @zacharylipton @brwilder
Applications for @EAAMO_ORG doctoral consortium due May 3rd! Who: CS/OR/Econ PhD students What: careers in equity and access New non-academic tracks w/ K.Pershell - former ED @AWMmath Women in Math & D.Berger lead scientist @AFLCIO (w/12M union workers) conference.eaamo.org/cfp/doctoral-c…