I work on applying machine learning to products. Currently @ Uber | previously at Facebook AI and Yahoo Research

Joined November 2008
5 Photos and videos
Tyler Cohen called it years ago and understood LLMs real capabilities better than AI folks. But this is a better exposition with graphs and all.
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12 Feb 2025
To reason is to deduce. Without logic, it is just echoes.
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2 Feb 2025
Style is easily imitable. Substance is earned.
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when your team gets assigned a "10x engineer"
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No, you put the armor on the part of the dragon with FEWER crossbow holes in it
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27 Feb 2018
Visualization of Modems Connecting
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24 Apr 2018
An Outsider’s Tour of Reinforcement Learning, Part 11: The surprising power of PID for model-free RL tasks. argmin.net/2018/04/24/ilc/

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A friend sent me this as his snarky answer to a question. Belly laugh.
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20 Feb 2018
An Outsider’s Tour of Reinforcement Learning, Part 6: Policy Gradient Doesn’t Use Gradients. argmin.net/2018/02/20/reinfo…

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27 Jan 2018
Choosing features: regularization. Choosing an algorithm: regularization. Using float32 instead of float64: regularization. A bug in your code: regularization.
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Tensor Comprehensions: einstein-notation like language transpiles to CUDA, and autotuned via evolutionary search to maximize perf. Know nothing about GPU programming? Still write high-performance deep learning. @PyTorch integration coming in <3 weeks. research.fb.com/announcing-t…
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28 Sep 2017
grad student: “For successful RL, it is important to carefully tune all hyperparameters, including the random seed.” arxiv.org/abs/1709.06560

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12 Dec 2017
Thank you @alirahimi19 for your earnest call to demystify NNs to make real progress, and boldly express what many of us felt! Video: youtube.com/watch?v=ORHFOnaE… - see @beenwrekt clarifications just in case if you were offended! #spellbound x.com/beenwrekt/status/94024…

11 Dec 2017
Some clarifications and ruminations on our NIPS 2017 presentation by me and @alirahimi19 : argmin.net/2017/12/11/alchem…
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3 Apr 2017
An optimizer’s perspective on a brilliant reinforcement learning paper by Salimans et al (with Roy Frostig) argmin.net/2017/04/03/evolut…

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29 Mar 2017
by today's definition, y=mx b is an artificial intelligence bot that can tell you where a line is going
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18 Jun 2016
Taming non-convexity using "approximate" convexity... x.com/offconvex/status/72975…

A framework for analyzing non-convex optimization: offconvex.org/2016/05/08/alm…
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18 May 2016
Exploring the dual view of backpropagation: argmin.net/2016/05/18/mates-…

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