From sarveshj at andrew.cmu.edu  Sat Feb  1 12:40:42 2020
From: sarveshj at andrew.cmu.edu (Sarveshwaran Jayaraman)
Date: Sat, 1 Feb 2020 17:40:42 +0000
Subject: GPU9 scratch
Message-ID: <efcc14da64234c33bdcc1a68b9a90a0f@andrew.cmu.edu>

Hi All,


GPU9 scratch space is almost full -- please check your space usage and clear out any unnecessary files. Thanks for your help!


sarveshj at gpu9$ df -h /home/scratch
Filesystem                             Size  Used Avail Use% Mounted on
/dev/mapper/sl_gpu9-home  1.8T  1.8T   67G  97% /home



[1562005799537]<https://www.autonlab.org/>

        Sarvesh Jayaraman<https://www.linkedin.com/in/sarveshjayaraman/>
Sr. Research Analyst, Auton Lab
Carnegie Mellon University
Mob: +1-240-893-4287


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From awd at cs.cmu.edu  Tue Feb  4 14:03:21 2020
From: awd at cs.cmu.edu (Artur Dubrawski)
Date: Tue, 4 Feb 2020 14:03:21 -0500
Subject: Fwd: Thesis Proposal - Maria De Arteaga Gonzalez - Wednesday,
 February 5 at 2pm - NSH 3305
In-Reply-To: <259ea96fcd3c40a5bb0344ca4ebd8410@andrew.cmu.edu>
References: <259ea96fcd3c40a5bb0344ca4ebd8410@andrew.cmu.edu>
Message-ID: <CAJvAoyu8ZuWDNObgicH3YLWGyU1kw=X3p7AAY9rjOSRijTKd0g@mail.gmail.com>

Heads-up Autonians:

Maria will be giving her thesis proposal talk tomorrow at 2pm in our area
(NSH 3305).
Please come and enjoy a fun talk, and support one of our own going through
this important
stage of their career.

Cheers
Artur

---------- Forwarded message ---------
From: Michelle E Wirtz <mwirtz at andrew.cmu.edu>
Date: Thu, Jan 30, 2020 at 11:25 AM
Subject: Thesis Proposal - Maria De Arteaga Gonzalez - Wednesday, February
5 at 2pm - NSH 3305
To: heinz-faculty at lists.andrew.cmu.edu <heinz-faculty at lists.andrew.cmu.edu>,
heinz-phd at lists.andrew.cmu.edu <heinz-phd at lists.andrew.cmu.edu>, Artur W.
Dubrawski <awd at andrew.cmu.edu>, Roni Rosenfeld <roni at cs.cmu.edu>,
adam.kalai at microsoft.com <adam.kalai at microsoft.com>


Hi all,

Please join us on Wednesday, February 5, 2020 in Newell-Simon Hall Room
3305 at 2pm when Maria De Arteaga Gonzalez will be presenting her thesis
proposal.

*Title:* Machine Learning in High-Stakes Settings: Risks and Opportunities

*Thesis committee: *Artur Dubrawski (co-chair), Alexandra Chouldechova
(co-chair), Roni Rosenfeld, Adam Kalai (Microsoft Research)



*Thesis proposal abstract:*

Machine learning (ML) is increasingly being used to support decision-making
in critical settings, where predictions have potentially grave implications
over human lives. Examples include healthcare, hiring, child welfare, and
the criminal justice system. In this thesis, I study the risks and
opportunities of machine learning in high-stakes settings. In the first
chapter I focus on opportunities of ML to support experts' decisions when
dealing with high-resolution multivariate data--a type of data that is
particularly hard for humans to interpret--. I propose methodology to
discover latent complex multivariate correlation structures and illustrate
its use in two different domains: (1) identification of radioactive threats
in nuclear physics, and (2) prediction of neurological recovery of comatose
patients in healthcare. In the second chapter, focused on algorithmic
fairness, I demonstrate how societal biases encoded in historical data may
be reproduced and amplified by ML models, and introduce a new algorithm to
mitigate biases without assuming access to protected attributes. Finally,
in the third chapter I characterize challenges that arise from the
limitations of available labels in decision support contexts, such as the
selective labels problem and omitted payoff bias, and propose methodology
to estimate and leverage human consistency to improve algorithmic decision
making.



*Link to paper: *
https://www.dropbox.com/s/0sedkolbwim23x9/PhD_Proposal_DeArteaga.pdf?dl=0
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From awd at cs.cmu.edu  Wed Feb  5 08:42:46 2020
From: awd at cs.cmu.edu (Artur Dubrawski)
Date: Wed, 5 Feb 2020 08:42:46 -0500
Subject: Fwd: [ML-news] Machine Learning for Healthcare 2020: First Call for
 Papers
In-Reply-To: <2cda6d82-830c-4779-80ce-4daba4d0f3f4@googlegroups.com>
References: <2cda6d82-830c-4779-80ce-4daba4d0f3f4@googlegroups.com>
Message-ID: <CAJvAoyu+bD3xBCUXmQG0059ETAi+8anfQFzDYS9TfHpHTtk0SQ@mail.gmail.com>

Let me know if you're thinking about submitting a paper to mlhc this year
so that we can coordinate.

Thanks
Artur



---------- Forwarded message ---------
From: Finale <fdoshi at gmail.com>
Date: Tue, Feb 4, 2020, 8:39 PM
Subject: [ML-news] Machine Learning for Healthcare 2020: First Call for
Papers
To: Machine Learning News <ml-news at googlegroups.com>


Call for Submissions

MLHC -> Machine Learning for Healthcare Conference 2020

What: conference on data-driven healthcare

When: August 6-8, 2020

Where: Durham, NC

Website: https://www.mlforhc.org/

-------------------------------------------------------------------

Researchers in machine learning --- including those working in statistical
natural language processing, computer vision, and related sub-fields ---
when coupled with seasoned clinicians can play an important role in turning
complex medical data (e.g., individual patient health records, genomic
data, data from wearable health monitors, online reviews of physicians,
medical imagery, etc.) into actionable knowledge that ultimately improves
patient care. For several years, MLHC has drawn together hundreds of
clinical and machine learning researchers to discuss machine learning
solutions clinicians need solved.

We invite submissions that advance our understanding of machine learning in
the context of healthcare.  Submissions may be methods oriented, describing
ways to address the challenges inherent to health-related data (e.g.,
sparsity, class imbalance, causality, temporal dynamics, multi-modal data).
They may also be more application-oriented, including evaluations and
analyses of state-of-the-art machine learning approaches applied to health
data in deployed/prototyped systems. Submissions will be reviewed by both
computer scientists and clinicians. This year we are calling for papers in
two tracks: a research paper track and a clinical abstract+software/demo
track. Accepted papers will be archived through the Proceedings of Machine
Learning Research (JMLR Proceedings track).

Examples of topic areas include:

*Predicting individual patient outcomes

*Mining, processing and making sense of clinical notes

*Patient risk stratification

*Parsing biomedical literature

*Bio-marker discovery

*Brain imaging technologies and related models

*Learning from sparse/missing/imbalanced data

*Time series analysis with medical applications

*Medical imaging

*Efficient, scalable processing of clinical data

*Clustering and phenotype discovery

*Methods for vitals monitoring

*Feature selection/dimensionality reduction

*Text classification and mining for biomedical literature

*Exploiting and generating ontologies

*ML systems that assist with evidence-based medicine

Regardless of the topic, our main interest is in papers that teach us
something, that give us some new insights into machine learning in the
context of healthcare.

--- Submission Details ---

Research Track:  Full papers are expected (in the range of 12-15 pages) The
review process is double blind. Please refer to the submission instructions
on our website, including tips on what makes a great MLHC paper and
required content.  All papers will be rigorously peer-reviewed, and
research that has been previously published elsewhere or is currently in
submission may not be submitted. Accepted papers will be published through
the Proceedings of Machine Learning Research.

Clinical Abstract and Software/Demo Track: We also have a non-archival
track two very specific categories of papers: Clinical abstracts share open
clinical problems and celebrate translational achievements.  The first
author and presenter of a clinical abstract track submission must be an
MD/RN/clinician.  Software/demos share a tool for the community to use
(which generally means open source).  Abstracts will not be archived.

--- Important Dates ---

Paper Submission Deadline - Friday March 20th, 2020 6PM EDT

Acceptance Notification - Friday June 5th, 2020

Program Chairs:

Finale Doshi, PhD (Harvard University), James Fackler, MD (Johns Hopkins),
Kenneth Jung, PhD (Stanford University), David Kale (USC), Rajesh
Ranganath, PhD (NYU), Michael Sjoding, MD (University of Michigan), Byron
Wallace, PhD (Northeastern), Jenna Wiens, PhD (University of Michigan)



-- 
You received this message because you are subscribed to the Google Groups
"Machine Learning News" group.
To unsubscribe from this group and stop receiving emails from it, send an
email to ml-news+unsubscribe at googlegroups.com.
To view this discussion on the web visit
https://groups.google.com/d/msgid/ml-news/2cda6d82-830c-4779-80ce-4daba4d0f3f4%40googlegroups.com
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.
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From ngisolfi at cs.cmu.edu  Thu Feb  6 10:16:39 2020
From: ngisolfi at cs.cmu.edu (Nick Gisolfi)
Date: Thu, 6 Feb 2020 10:16:39 -0500
Subject: [Lunch] Today @ noon in Gates 8115
Message-ID: <51EAB39F-2E2D-47BD-B3BB-AC1956E1EF70@cs.cmu.edu>

Hi Everyone,

Auton lab?s bring-your-own-lunch is in GHC 8115 today at noon.

As a reminder, this invite extends to anyone affiliated in any way with the lab.  Come chat with your colleagues and get to know each other better in an informal setting.

We hope to see you there!

- Nick
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From predragp at andrew.cmu.edu  Sun Feb  9 21:06:30 2020
From: predragp at andrew.cmu.edu (Predrag Punosevac)
Date: Sun, 9 Feb 2020 21:06:30 -0500
Subject: gpu14 rebooted
Message-ID: <CAEFFt-E5rmhWQBPo2OfuW_JwJb+ES-kbep0EAs-VO9HR3vb9YA@mail.gmail.com>

Hi Autonians,

Somebody managed to crash gpu14 with Python jobs. I just used IPMI to
remotely hard reboot machine. It works as expected. As a side note I
upgraded software but it is still running Red Hat 7.7 clone not branch
8.

Cheers,
Predrag

From ngisolfi at cs.cmu.edu  Thu Feb 13 09:54:21 2020
From: ngisolfi at cs.cmu.edu (Nick Gisolfi)
Date: Thu, 13 Feb 2020 09:54:21 -0500
Subject: [Lunch] Today @ noon in Gates 8115
Message-ID: <9C28BFD6-563C-46DF-920E-D3A70D512929@cs.cmu.edu>

Hi Everyone,

Auton lab?s bring-your-own-lunch is in GHC 8115 today at noon.

As a reminder, this invite extends to anyone affiliated in any way with the lab.

See you there!

- Nick
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From awd at cs.cmu.edu  Thu Feb 13 18:09:53 2020
From: awd at cs.cmu.edu (Artur Dubrawski)
Date: Thu, 13 Feb 2020 18:09:53 -0500
Subject: the fate of the AI XPRIZE semifinalists is being decided as I write
 this...
Message-ID: <CAJvAoyvwfdVgCta-YpA70Zn=KA1TokxmhaGDzx3VR2XkKx=zGA@mail.gmail.com>

So while we wait, check this out:

https://www.xprize.org/prizes/artificial-intelligence/teams/marinus_analytics

and please keep fingers crossed for Marinus and Traffic Jam.

Cheers
Artur

From daniel.neill at nyu.edu  Thu Feb 13 18:18:10 2020
From: daniel.neill at nyu.edu (Daniel Neill)
Date: Thu, 13 Feb 2020 18:18:10 -0500
Subject: the fate of the AI XPRIZE semifinalists is being decided as I
 write this...
In-Reply-To: <CAJvAoyvwfdVgCta-YpA70Zn=KA1TokxmhaGDzx3VR2XkKx=zGA@mail.gmail.com>
References: <CAJvAoyvwfdVgCta-YpA70Zn=KA1TokxmhaGDzx3VR2XkKx=zGA@mail.gmail.com>
Message-ID: <CA+EXhbaDN6+Bif86q60=iT7V66opKG8Rsv_ALOo3nmytduQkDA@mail.gmail.com>

Emily gave an awesome talk at TED HQ!  (I was lucky enough to be in the
audience :))  Hope all is well back in the Burgh!  All the best, Daniel

On Thursday, February 13, 2020, Artur Dubrawski <awd at cs.cmu.edu> wrote:

> So while we wait, check this out:
>
> https://urldefense.proofpoint.com/v2/url?u=https-3A__www.
> xprize.org_prizes_artificial-2Dintelligence_teams_marinus-
> 5Fanalytics&d=DwIBaQ&c=slrrB7dE8n7gBJbeO0g-IQ&r=hTOtJ0dmQ4efoAC-COWcuQ&m=
> 6rY36SXiS9sqVyPAPvi69hPgJTqurHIokMYWIsYRNbY&s=bu-JdhHDvh8_
> v1fntlJEy6_HFpiXB1hhr9Oc-jLPsy8&e=
>
> and please keep fingers crossed for Marinus and Traffic Jam.
>
> Cheers
> Artur
>


-- 

----------------------------------------------------------------------------------------------------------------------------

Daniel B. Neill, Ph.D.
Associate Professor of Computer Science and Public Service
Associate Professor of Urban Analytics
Director, Machine Learning for Good Laboratory
Co-Director, NYU Urban Initiative
Courant Institute- Department of Computer Science / Wagner School of Public
Service / Center for Urban Science & Progress
New York University

daniel.neill at nyu.edu
http://www.cs.nyu.edu/~neill
http://wp.nyu.edu/ml4good
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From d.c.howarth at gmail.com  Fri Feb 14 17:08:04 2020
From: d.c.howarth at gmail.com (Dan Howarth)
Date: Fri, 14 Feb 2020 17:08:04 -0500
Subject: lov3 scratch almost full
Message-ID: <CACG4Uo-jBc5Pe6HckzanGRx3tAPfWMpRmfWCpcNLMhmrbPStvA@mail.gmail.com>

Hello all,

lov3 scratch is getting close to full. Please check to see if you have any
old files on there.

Thanks,
Dan
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From predragp at andrew.cmu.edu  Fri Feb 14 18:32:18 2020
From: predragp at andrew.cmu.edu (Predrag Punosevac)
Date: Fri, 14 Feb 2020 18:32:18 -0500
Subject: GPU1 fixed
Message-ID: <CAEFFt-ECwON_5CM9mKmU7=N2=r-wLZ-n4b7NVPJ-hgK7kRFoYw@mail.gmail.com>

Dear Autonians,

After a loooooong time, I finally fixed GPU1 node. The server had
multiple (at least three that I found) dead RAM modules. It runs now
with 128 GB of RAM which is half of the original amount. Due to the
fact that this is older RAM which is now pricey (the server is out of
warranty) I decided just to keep extra RAM in the reserve instead of
buying replacement RAM.

The server is still running Springdale 7.7 but CUDA is now 10.2 and
updated everything.

Best,
Predrag

P.S. Some of you might be missing scratch on this server. Please ping me.

From d.c.howarth at gmail.com  Mon Feb 17 14:41:31 2020
From: d.c.howarth at gmail.com (Dan Howarth)
Date: Mon, 17 Feb 2020 14:41:31 -0500
Subject: lov3 scratch almost full
In-Reply-To: <CACG4Uo-jBc5Pe6HckzanGRx3tAPfWMpRmfWCpcNLMhmrbPStvA@mail.gmail.com>
References: <CACG4Uo-jBc5Pe6HckzanGRx3tAPfWMpRmfWCpcNLMhmrbPStvA@mail.gmail.com>
Message-ID: <CACG4Uo8AQKL-9W1q5oLf2KKXLPMFZZee+vqdqEp=hTqFpDAkmQ@mail.gmail.com>

Please check your lov3 scratch usage.

On Fri, Feb 14, 2020 at 5:08 PM Dan Howarth <d.c.howarth at gmail.com> wrote:

> Hello all,
>
> lov3 scratch is getting close to full. Please check to see if you have any
> old files on there.
>
> Thanks,
> Dan
>
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From d.c.howarth at gmail.com  Tue Feb 18 11:16:49 2020
From: d.c.howarth at gmail.com (Dan Howarth)
Date: Tue, 18 Feb 2020 11:16:49 -0500
Subject: lov3 scratch FULL
Message-ID: <CACG4Uo9AB6Aw5pEauhz0V0ofdqYLw5UBoj9NM4f28hbwV9i47Q@mail.gmail.com>

lov3 scratch is now full. Please check to see if you have any old files
there.
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From ngisolfi at cs.cmu.edu  Thu Feb 20 09:46:58 2020
From: ngisolfi at cs.cmu.edu (Nick Gisolfi)
Date: Thu, 20 Feb 2020 09:46:58 -0500
Subject: [Lunch] Today @ noon in Gates 8115
Message-ID: <92E7B2FF-E550-4BC2-8BC5-7550B6234B20@cs.cmu.edu>

Hi Everyone,

Auton Lab?s bring-your-own-lunch in in GHC 8115 today at noon.

This invite extends to anyone affiliated in any way with the lab.

We hope to see you there!

- Nick
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From pnspence at andrew.cmu.edu  Mon Feb 24 12:51:32 2020
From: pnspence at andrew.cmu.edu (Patricia N Spencer)
Date: Mon, 24 Feb 2020 17:51:32 +0000
Subject: Help for Luke and Sadie
In-Reply-To: <d45982e7832f4a31bf3878ac378c7085@andrew.cmu.edu>
References: <d45982e7832f4a31bf3878ac378c7085@andrew.cmu.edu>
Message-ID: <5b2340cdc6414d39bc0fa51398d5de3a@andrew.cmu.edu>


Hello all,

As many of you know, our colleague Luke Sciulli experienced a significant fire in his home last Wednesday. His dog, Sadie, suffered from smoke inhalation but Luke was able to resuscitate her and get her to the hospital. Thankfully, both Luke and Sadie are ok, but none of the contents were salvageable and his home is going to be uninhabitable for at least 6 months. Today is the first day he was able to even get into his home after the insurance gave the go-ahead.

Aside from the massive job of rebuilding and dealing with insurance, this is a big deal for a guy who's already been through a lot!

We are planning to do a GoFundMe to help him out BUT this can NOT happen until his retirement from the Army is complete. Luke expects this will be finalized next week. When he tells me it is final, I will send out a link for a GoFundMe.

Thanks very much!

Best,
Trish


Trish Spencer
Project Manager
Auton Lab, Robotics Institute
Carnegie Mellon University
Newell Simon Hall, Room #3124| Pittsburgh, PA  | 15222
T: 412.268.9422; M: 831-227-3137 | PNSPENCE at andrew.cmu.edu<mailto:PNSPENCE at andrew.cmu.edu>

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From hos12 at pitt.edu  Mon Feb 24 12:56:39 2020
From: hos12 at pitt.edu (Stein, Howard R)
Date: Mon, 24 Feb 2020 17:56:39 +0000
Subject: Help for Luke and Sadie
In-Reply-To: <5b2340cdc6414d39bc0fa51398d5de3a@andrew.cmu.edu>
References: <d45982e7832f4a31bf3878ac378c7085@andrew.cmu.edu>
 <5b2340cdc6414d39bc0fa51398d5de3a@andrew.cmu.edu>
Message-ID: <BL0PR04MB454895AD75CE3C01DC96B7A2CEEC0@BL0PR04MB4548.namprd04.prod.outlook.com>

Trish,

That's awful news.

Please let me know if there is anything that you need help with.

Thank you,
Howard


From: Patricia N Spencer <pnspence at andrew.cmu.edu>
Sent: Monday, February 24, 2020 12:52 PM
To: users at autonlab.org
Cc: Karen R Widmaier <krw at andrew.cmu.edu>; Ashley Tuerffs Papale <atuerffs at andrew.cmu.edu>; Deborah D Harvard <ddh at cs.cmu.edu>; Cheryl Wehrer <wehrer at cmu.edu>; Howie Choset <choset at andrew.cmu.edu>; John Michael Galeotti <jgaleotti at cmu.edu>; Pinsky, Michael R <pinsky at pitt.edu>; Poropatich,Ronald <RKP19 at pitt.edu>; Stein, Howard R <hos12 at pitt.edu>; Lagattuta, Theodore Francis <TFL5 at pitt.edu>
Subject: RE: Help for Luke and Sadie


Hello all,

As many of you know, our colleague Luke Sciulli experienced a significant fire in his home last Wednesday. His dog, Sadie, suffered from smoke inhalation but Luke was able to resuscitate her and get her to the hospital. Thankfully, both Luke and Sadie are ok, but none of the contents were salvageable and his home is going to be uninhabitable for at least 6 months. Today is the first day he was able to even get into his home after the insurance gave the go-ahead.

Aside from the massive job of rebuilding and dealing with insurance, this is a big deal for a guy who's already been through a lot!

We are planning to do a GoFundMe to help him out BUT this can NOT happen until his retirement from the Army is complete. Luke expects this will be finalized next week. When he tells me it is final, I will send out a link for a GoFundMe.

Thanks very much!

Best,
Trish


Trish Spencer
Project Manager
Auton Lab, Robotics Institute
Carnegie Mellon University
Newell Simon Hall, Room #3124| Pittsburgh, PA  | 15222
T: 412.268.9422; M: 831-227-3137 | PNSPENCE at andrew.cmu.edu<mailto:PNSPENCE at andrew.cmu.edu>

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From hiteshar at andrew.cmu.edu  Tue Feb 25 12:10:38 2020
From: hiteshar at andrew.cmu.edu (Hitesh Arora)
Date: Tue, 25 Feb 2020 12:10:38 -0500
Subject: GPU9 scratch
In-Reply-To: <efcc14da64234c33bdcc1a68b9a90a0f@andrew.cmu.edu>
References: <efcc14da64234c33bdcc1a68b9a90a0f@andrew.cmu.edu>
Message-ID: <CAGWTJZfm7=b9CMJn5e+Fm5APbrNWe+Qyyjun=GfQ7Tvmoo20ag@mail.gmail.com>

Hi All,

A gentle reminder on this! GPU 9 scratch is now completely FULL, making it
unusable. Please check and delete/move your files from the scratch
directory of GPU 9.


Thanks,
Hitesh

On Sat, Feb 1, 2020 at 12:42 PM Sarveshwaran Jayaraman <
sarveshj at andrew.cmu.edu> wrote:

> Hi All,
>
>
> GPU9 scratch space is almost full -- please check your space usage and
> clear out any unnecessary files. Thanks for your help!
>
>
> sarveshj at gpu9$ df -h /home/scratch
> Filesystem                             Size  Used Avail Use% Mounted on
> /dev/mapper/sl_gpu9-home  1.8T  1.8T   67G  97% /home
>
>
> [image: 1562005799537] <https://www.autonlab.org/>
>
> Sarvesh Jayaraman <https://www.linkedin.com/in/sarveshjayaraman/>
> Sr. Research Analyst, Auton Lab
> Carnegie Mellon University
> Mob: +1-240-893-4287
>
>
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From rghods at cs.cmu.edu  Tue Feb 25 13:04:45 2020
From: rghods at cs.cmu.edu (Ramina Ghods)
Date: Tue, 25 Feb 2020 18:04:45 +0000
Subject: Fw: ML Seminar - Teaching Machines like we Teach People
In-Reply-To: <CALnJbfMC7CAkiimthD6pEw3YCP8j=_N0cVNDavjR5RH7+5=2pg@mail.gmail.com>
References: <CALnJbfMC7CAkiimthD6pEw3YCP8j=_N0cVNDavjR5RH7+5=2pg@mail.gmail.com>
Message-ID: <be9957dd617d41e389a74d265929bf37@cs.cmu.edu>

Hi all,


Just wanted to advertise here a bit as I am excited about this talk. Igor and I worked with the same PhD advisor at Cornell.

Best,
Ramina
________________________________
From: Ml-cmu-friends <ml-cmu-friends-bounces at mailman.srv.cs.cmu.edu> on behalf of Mary Stech <mstech at andrew.cmu.edu>
Sent: Tuesday, February 25, 2020 12:30 PM
To: ml-seminar at cs.cmu.edu
Subject: ML Seminar - Teaching Machines like we Teach People

A reminder about the seminar today at 2:00!

________________________________________________________________________

  Please join ML for a Special Seminar on Tuesday, February 25 at 2:00pm in GHC 4405.

Teaching Machines like we Teach People

Today machine learning is largely about statistical pattern discovery and function approximation from large volumes of data. But as computing devices that interact with us in natural language become ubiquitous (e.g., Siri, Alexa, Google Home), and as computer perceptual abilities become more accurate, they open an exciting possibility of enabling end-users to teach machines similar to the way in which humans teach one another. Natural language conversations, gesturing, demonstrations, teleoperation and other modes of communication offer a new paradigm for machine learning through instruction from humans. In this talk I will discuss our effort and progress at CMU to build the next generation conversational agent that can learn from explicit verbal instruction and demonstration.

Bio:
Igor Labutov's interests are in building machine learning algorithms that can learn from natural human supervision, such as verbal or visual instructions. Most recently he was a Postdoc at Carnegie Mellon Machine Learning department working with Tom Mitchell on problems of machine learning from flexible and natural forms of instruction. Prior to that he obtained his PhD from Cornell University where he was advised by Hod Lipson and Christoph Studer, and where he was a recipient of the NSF Graduate Fellowship. His undergraduate degree is from The City College of New York. In June 2018, together with Bishan Yang (also former CMU postdoc) they co-founded LAER AI.<https://laer.ai/>, a startup based in New York City, focusing on developing next-generation semantic search tools for enterprises.



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From ngisolfi at cs.cmu.edu  Thu Feb 27 11:01:58 2020
From: ngisolfi at cs.cmu.edu (Nick Gisolfi)
Date: Thu, 27 Feb 2020 11:01:58 -0500
Subject: [Lunch] Today @ noon in GHC 8115
Message-ID: <7E9EA776-BD7E-458A-8620-B2D1F1240372@cs.cmu.edu>

Hi Everyone,

Auton Lab?s bring-your-own-lunch in in GHC 8115 today at noon.

This invite extends to anyone affiliated in any way with the lab.

We hope to see you there!

- Nick
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