Human. CTO Resonance, prof of DS @NYUStern, Former Head of DS @compass, @Etsy, CTO/Founder @Detectica. Founder @integralads, CTO @urbint, ML @YahooResearch
Joined January 2011
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josh attenberg retweeted
Surf photographer Dave Nelson got a video of a seal chasing after a ball with his dog on the beach in Santa Cruz.
josh attenberg retweeted
A recent thread about practical use of GPs reminded me that I haven’t posted about the 5 BayesOpt-related papers the Adaptive Experimentation team at Facebook is presenting at NeurIPS 2020 this year. The methods from these papers are all being applied to real-world problems.
Lazy twitter: What is the preferred tool in 2021 for managing feature flags with a mind towards a/b experimentation
Proud to report that I've reached the "can read Go Dog, Go! without looking at the words" phase of parenting!
In hazard regression, how does one typically account for having already observed a certain lifespan for subjects? Observed-lifespan terms in the modeling and "example creation" in the training data?
Estimating heterogeneous treatment effects with right-censored data via causal survival forests bit.ly/3hcfWMP
I'm doing a solo drive across country in a few weeks. Please give me some recommendations for podcasts or audio books for the journey!
josh attenberg retweeted
This has been my dream. Next track their vehicles. Classify and quantify how they spend their time. Predictive policing, except using analytics to predict criminal behavior *by police*.
Around the world, activists are building facial recognition tools specifically to identify police officers. The authorities are not happy to be on the other side of the technology. nytimes.com/2020/10/21/techn…
josh attenberg retweeted
I know you'll hear it a million times, but seriously: check to make sure you're registered to vote. And check in with friends & family too -- ask them specifically what their plan is. iwillvote.com will link you to the right site for your state.
josh attenberg retweeted
This year, the Test of Time Award for Research goes to Victor S. Sheng, Foster Provost & Panagiotis Ipeirotis for their approach to selective acquisition of multiple labels in the 2008 paper: Get Another Label? Improving Data Quality And Data Mining Using Multiple, Noisy Labelers
josh attenberg retweeted
"when things are going well, no one cares about data ... we're not useful until things start falling apart"
More serious answer is longer; roughly minutes 22-26 of this talk: youtube.com/watch?v=rqWnEJXn…
