[AI Seminar] ai-seminar-announce Digest, Vol 78, Issue 7

[Adams Wei Yu]

A gentle reminder that the talk will happen tomorrow (Tuesday) noon.

On Sat, Nov 25, 2017 at 9:00 AM, <ai-seminar-announce-request at cs.cmu.edu>
wrote:

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> Today's Topics:
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>    1.  AI Seminar sponsored by Apple -- Brandon Amos -- Nov 28
>       (Adams Wei Yu)
>
>
> ----------------------------------------------------------------------
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> Message: 1
> Date: Sat, 25 Nov 2017 04:04:05 -0800
> From: Adams Wei Yu <weiyu at cs.cmu.edu>
> To: ai-seminar-announce at cs.cmu.edu
> Subject: [AI Seminar] AI Seminar sponsored by Apple -- Brandon Amos --
>         Nov 28
> Message-ID:
>         <CABzq7epSXb=Xg7AHavqpsL04uNjCwdJyeFEMoMiu41vRmfEteg at mail.
> gmail.com>
> Content-Type: text/plain; charset="utf-8"
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> Dear faculty and students,
>
> We look forward to seeing you next Tuesday, Nov 28, at noon in NSH 3305 for
> AI Seminar sponsored by Apple. To learn more about the seminar series,
> please visit the AI Seminar webpage <http://www.cs.cmu.edu/~aiseminar/>.
>
> On Tuesday, Brandon Amos <http://bamos.github.io/> will give the following
> talk:
>
> Title: Modern Convex Optimization within Deep Learning
>
> Abstract:
>
> This talk discusses a new paradigm for deep learning that integrates the
> solution of optimization problems "into the loop." We highlight two
> challenges present in today's deep learning landscape that involve adding
> structure to the input or latent space of a model. We will discuss how to
> overcome some of these challenges with the use of learnable optimization
> sub-problems that subsume standard architectures and layers. These
> architectures obtain state-of-the-art empirical results in many domains
> such as continuous action reinforcement learning and tasks that involve
> learning hard constraints like the game Sudoku.
>
> We will cover topics from these two papers:
>
> 1. Input Convex Neural Networks. Brandon Amos, Lei Xu, J. Zico Kolter. ICML
> 2017. https://arxiv.org/abs/1609.07152.
>
> 2. OptNet: Differentiable Optimization as a Layer in Neural Networks.
> Brandon Amos, J. Zico Kolter. ICML 2017. https://arxiv.org/abs/1703.00443.
>
> Joint work with J. Zico Kolter.
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