Alexander Terenin
@avt_im
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Machine learning, artificial intelligence, decision theory · anti-ideological · Assistant Research Professor @Cornell
Joined August 2013
We've updated the schedule for the NeurIPS Workshop for Bayesian Decision-making and Uncertainty - it now includes all the talk titles! Check it out! Looking forward to seeing everyone on Saturday!
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RT @thegautamkamath: A *2011* grant from @NSERC_CRSNG Research Tools and Instruments, for 60000 CAD, to Geoff Hinton (@geoffreyhinton) For…
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RT @vabor112: Good news! GeometricKernels now supports the new 𝑯𝒐𝒅𝒈𝒆-𝒄𝒐𝒎𝒑𝒐𝒔𝒊𝒕𝒊𝒐𝒏𝒂𝒍 𝒌𝒆𝒓𝒏𝒆𝒍𝒔 for flow-type data on graphs (thnx @maosheng_yan…
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RT @chelseabfinn: Disappointed with your ICLR paper being rejected? Ten years ago today, Sergey and I finished training some of the first…
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RT @polynoamial: This is on the scale of the Apollo Program and Manhattan Project when measured as a fraction of GDP. This kind of investme…
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RT @sp_monte_carlo: @mattecapu surprisingly tricky to find an original source for this sort of quote; earliest I could find quickly was fro…
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@gallabytes I agree - though let me convince you that there are other missing puzzle pieces as well. If there’s not many papers, it might be because people can’t figure out a good angle of attack. Got an idea?
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RT @manasjsaloi: Inside the mind of Alex Zhu (TikTok). From years ago. One of the best things I have read on product strategy. https://t.c…
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RT @polynoamial: It can be hard to “feel the AGI” until you see an AI surpass top humans in a domain you care deeply about. Competitive cod…
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RT @GuptaAnkitV: With the start of my first batch as a visiting partner at @ycombinator, this felt like a good time to write my founder sto…
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RT @miniapeur: (1/2) Hello everyone! I've just created a list of people looking for opportunities and positions (internship, postdoc, resea…
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@miniapeur How far into the future do you want such a job and what probability of success do you request?
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“Industry proudly said they just use basic statistical methods, not what's at ICML” This was the tell there was a big opportunity.
@thegautamkamath Interesting to note also that when I started my PhD (which with hindsight was a "good time" to get into ML), there weren't great career options. It was hedge funds, maybe academia, maybe MSR. Industry proudly said they just use basic statistical methods, not what's at ICML. 1/2
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@thegautamkamath Fair enough, though if you buy my argument, at the cost of less communication and thus more potential for misunderstanding-related resubmission. That might actually be worth it - if it keeps reviewing burnout down.
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@thegautamkamath The other big issue is that it takes a long time. My last JMLR was about two years from submission to publication, which for that work - given how involved it is - is actually fine, but for many other works would have been a non-starter.
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