Alexander D'Amour (@alexdamour.bsky.social)
@alexdamour
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Research Scientist at Google Brain. Statistics, Data Science, ML, causality, fairness. Prev at Harvard (PhD), UC Berkeley (VAP). Opinions my own. he/him.
Cambridge, MA
Joined June 2009
An improved version of the Underspecification paper is out at JMLR! (Late announcement).
NEW from a big collaboration at Google: Underspecification Presents Challenges for Credibility in Modern Machine Learning. Explores a common failure mode when applying ML to real-world problems. 🧵 1/14.
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RT @_zhuyuchen: Sadly I can't make it myself to #ICML2025, but the amazing @alexdamour is presenting this at West Exhibition Hall B2-B3 W-8….
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RT @_zhuyuchen: New work! 💪🏻💥🤯 When Can Proxies Improve the Sample Complexity of Preference Learning? Our paper is accepted at @icmlconf 20….
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RT @bencasselman: But is the JEC data that Nate is putting into his regression picking up that variation in any meaningful way? I don't buy….
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*causal. Sigh. Autocorrect is no longer used to poasting.
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On the substance, my take is that most of his points would be non-controversial if he didn't then try to support them w poorly formalized quantitative "evidence", but that makes debate about how bad the analysis is kinda pointless.
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I, for one, appreciate the service Nate Silver provides: offering himself up as a punching bag so that casual/stats types like myself can work thru their anxiety around elections.
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RT @LesterMackey: If you're a PhD student interested in interning with me or one of my amazing colleagues at Microsoft Research New England….
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RT @stephenpfohl: Excited to announce that our paper, “A toolbox surfacing health equity harms and biases in large language models” is now….
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RT @JohnCLangford: New reqs for low to high level researcher positions: ., . . https://t.co/….
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RT @ml_angelopoulos: 📣Announcing the 2024 NeurIPS Workshop on Statistical Frontiers in LLMs and Foundation Models 📣. Submissions open now,….
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RT @victorveitch: LLM best-of-n sampling works great in practice---but why? . Turns out: it's the best possible policy for maximizing win r….
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RT @jacyanthis: In our new working paper "Dubious Debiasing" presented in today's #CHI2024 HEAL workshop, we argue that modern LLMs like Ch….
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RT @ArthurGretton: Proxy methods: not just for causal effect estimation! #aistats24. Adapt to domain shifts in an unobserved latent, with e….
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RT @XiaohuaZhai: 📢📢 I am looking for a student researcher to work with me and my colleagues at Google DeepMind Zürich on vision-language re….
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RT @ibomohsin: Excited to share our #ICLR2024 paper, focused on reducing bias in CLIP models. We study the impact of data balancing and com….
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RT @RJenatton: In case you missed it @bioptimus_ai: We are looking for the best talents (ML/biology/large-scale infrastructure) to join our….
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RT @KLdivergence: The band is getting back together! Tomorrow, I’m joining.@wsisaac and so many others I admire on @Google.DeepMind’s Ethic….
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RT @zicokolter: The @icmlconf 2024 Ethics Chairs, @KLdivergence and @DrLaurenOR, wrote a blog about the ethics review. Helpful for all aut….
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RT @victorveitch: This one weird* trick will fix all** your LLM RLHF issues!. * not weird.** as long as your issues are about how to combin….
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RT @wzihao12: Transforming the reward used in RLHF gives big wins in LLM alignment and makes it easy to combine multiple reward functions!….
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