Kristian Lum @KLdivergence
Research Scientist at Google DeepMind | @FAccTConference OG | Past Twitter META, @hrdag & UPenn, UChicago faculty | Chicago, IL Joined April 2009-
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@ajordannafa @AdanBecerraPhD @KLdivergence 100%. I spend so much time with my machine learning class, teaching them the difference about using models for inference versus using them for prediction… And then I have to go and tell them that people in machine learning use the word inference to mean make a prediction.😭
Said something mildly controversial on the internet and didn’t get skewered. It was a good day.
I will never get over how AI/ML people use the word “inference”
It finally happened. Someone asked me a question and the answer was something in my dissertation. I’ve been waiting for this moment for almost 15 years.
we're hiring a social science fellow for voting rights at the ACLU! aclu.org/careers/apply/…
Just realized this is the first year I didn’t submit anything to FAccT. The end of an era for me.
My husband gave a presentation on bicycles to my daughter’s preschool for their unit on “spinning”. Many great questions were asked, such as: “I have a scooter; it is red.” Future academic right there, folks. Let’s just preemptively tenure that kid.
What an honor to be invited to give comments at @RoKhanna’s AI roundtable. Yes, this is a self-promotional tweet, but let me have this. This was incredibly exciting.
Kristian Lum (@KLdivergence), Research Associate Professor at DSI, will be attending the U.S. House of Representatives' first Congressional AI in Society and for Democracy Roundtable We are pleased to have DSI faculty contributing to critical discussions on the future of AI
Very mixed emotions on my last day in the office at U Chicago. Definitely the sweetest office I’ve ever had and the faculty are fantastic colleagues and just the best in the academic biz. Thanks, everyone, for an absolutely incredible year. ❤️ @DSI_UChicago
The @icmlconf 2024 Ethics Chairs, @KLdivergence and @DrLaurenOR, wrote a blog about the ethics review. Helpful for all authors and reviewers at ICML to better understand the process! medium.com/@icml2024pc/et… . . .
Ignored scholar here! And extremely excited to participate in this event next week.
Ignored scholar here! And extremely excited to participate in this event next week.
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You wouldn’t last an hour in the asylum where they raised me
@fhuszar @KLdivergence @sindero Be careful: complain it too much and soon they’ll call it “ferercing.”
@andrewgwils Thank you for saying this! I could handle the 2 flavors of inference in ML / Stats. I can't handle the third interpretation of inference
@richardtomsett @KLdivergence I long stopped caring about that phrasing, mostly because the "proper" terms aren't well accepted or they sound too jargony. Should we really have to say interpolate? Nowcast? Postdict? Do we change the functions and methods to say the right thing, even if output is the same?
I also do a double take every time someone uses "inference time" to mean "test time". I really dislike this change in terminology, which overloads the historical and more sensible meanings of the word "inference". When and why did it happen?
I will never get over how AI/ML people use the word “inference”
@howtolandanyjob Exactly literally proving the point
@KLdivergence I now say “inference” when I actually mean “prediction”, but only because I have more than 10 years until retirement.
We are thrilled to announce the NeurIPS 2024 Creative AI track! We invite research papers and artworks showcasing innovative work of AI and ML in art, design, and creativity. This year's theme is "Ambiguity." For more information: neurips.cc/Conferences/20… #neurips2024 #CreativeAI
@matloff I would humbly say that at the moment, the vision is better than the research itself, but I would love to chat more!
@KLdivergence RIP your TL with people explaining inference to you 💀
This actually made me lol, because, fair?
I will never get over how AI/ML people use the word “inference”
lots of examples of overloaded terminology and multiple usages of the same term in technical work but this seems like one of the few examples where difference usages are in a way opposites lol
This also makes me do a double take every time I see it. Would really love to know the story of how this usage came about
I will never get over how AI/ML people use the word “inference”
@KLdivergence @GordonBrianR Same here! Why is it necessary to 1) repurpose existing stats terms to mean something else, or 2) use an existing stats concept but call it something mysterious so that no one knows what it means? bactra.org/notebooks/nn-a…
@KLdivergence As someone trained in classical stats this was also a somewhat hard pill to swallow to blend in the field.
Twitter 1.0 reunion @janocha_kasia @DrBPChamberlain @Francesco_dgv @aittalam @SergeyShir994 @nhammerla
@KLdivergence The word had a different meaning for people trying to guess the next word vs. people trying to figure out if that new molecule will heal or kill people
@KLdivergence What is inference? Statisticians: Drawing conclusions about an underlying population based on a sample or subset of the data. A delicate task that requires understanding the data-generating process and the modeling assumptions. Machine learner: it's when I write model.predict()
I think I misunderstood this. I don’t mind if you say a network infers instead of predicts. I DO mind if you say the network inferences something. “Inferencing” is not a word, it hurts my brain, even though I approve of the substring “ferenc” in there.
I will never get over how AI/ML people use the word “inference”
I was so confused when I heard of this word last week.
I will never get over how AI/ML people use the word “inference”
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