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2016 Mobile Ad Summit
Thursday
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October 
11
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8:00am
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About The Event

Clear your calendar - It's going down! Quote Blocks kicks off on April 26th, and you're invited to take part in the festivities. Join us for a day of fun and excitement. Come one, come all, bring a guest, and hang loose. This is going to be epic!

BayLearn 2018

Thursday
, 
October 
11
 at 
8:00am
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Bay Area Machine Learning Symposium

The Bay Area Machine Learning Symposium is an annual gathering of machine learning scientists from the San Francisco Bay Area. While it promotes community building and technical discussions between local researchers from academic and industrial institutions, it also welcomes visitors. This one-day event combines invited talks, contributed talks and posters to foster the exchange of ideas.

Keynote Speakers

Joelle Pineau

Facebook & McGill University

 

 

Keynote Talk: Data-Driven Dialogue Systems: Models, Algorithms, Evaluation, and Ethical Challenges

 

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Peter Bartlett

Berkeley AI Research Lab,

UC Berkeley

 

Keynote Talk: Some representation, optimization and generalization properties of deep networks

 

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Jennifer Listgarten

Center for Computational Biology & Berkeley AI Research, UC Berkeley

 

Keynote Talk: Statistical and machine learning challenges from genetics to CRISPR gene editing

 

 

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Sergey Levine

CITRIS People and Robots & Berkeley AI Research Lab,

UC Berkeley

Keynote Talk: Five Myths About Deep Reinforcement Learning

 

 

 

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Schedule

8:00 – 9:00 AM

Coffee and Light Breakfast

9:05 – 9:15 AM

Welcome to BayLearn 2018


9:15 – 10:00 AM

Keynote 1:

Joelle Pineau

10:00 – 10:45 AM

Session 1

Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives, George Tucker

Local Linear Forests: Leveraging Smoothness with Random Forests, Rina S Friedberg

Deep Learning for Supercomputers, Noam M Shazeer

10:45-11:00 AM

Break

11:15 AM-12:00 Noon

Keynote 2

Peter Bartlett

12:00 Noon-12:30 PM

Session 2

A Deep Generative Model for Semi-Supervised Classification with Noisy Labels, Maxime Langevin

Improved Mixed-Example Data Augmentation, Cecilia Summers

12:30-1:50 PM

Lunch—provided by Facebook

2:00-2:45 PM

Keynote 3

Jennifer Listgarten

2:45-3:15 PM

Session 3

Plannable Representations with Causal InfoGAN, Thanard Kurutach

Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models, Kurtland Chua

3:15-3:40 PM

Break


3:45-4:30 PM

Keynote 4

Sergey Levine

4:30-7:00 PM

Main Poster Session, Reception, Prizes


Venue

Facebook is hosting

BayLearn 2018 at their campus in Menlo Park, CA

To attend BayLearn 2018, you will need to use the Shuttle Transportation arranged by Facebook (see below).


BayLearn 2018 will take place at Facebook.

Transportation

To attend BayLearn 2018, you will need to use the free shuttle transportation service arranged by Facebook.

Facebook and the City of Menlo Park have an agreement called a "trip cap," which counts the number of vehicles that come in and out of campus every day. It's critical that Facebook stays compliant with this agreement. To stay compliant, Facebook has arranged shuttle transportation for Baylearn attendees for arrival and departures. Please select the shuttle stop you plan to use on October 11, so Facebook can plan accordingly. You may only select one option. Please note that personal cars, including Ubers, lyfts, and other rideshare vehicles are not permitted. More detailed transportation information coming soon.

 

Here are the locations of the Pickup and Dropoff locations for the free transportation shuttles

Fremont

Facebook Ardenwood Farm (Note: This is not Ardenwood Campus, but very close. Just wanted to make sure that was clear.)

34800 Campus Dr. Fremont

Location

Mountain View

Mountain View Caltrain

600 West Evelyn Ave. (The white zone between View St. and Hope St.)

Location


San Francisco

Civic Center 

140 Fulton Street, San Francisco

Location

San Jose

Curtner & Canoas Garden (near VTA Curtner Parking Lot)

Location

Our Sponsors

BayLearn 2018 is sponsored by the following companies

About BayLearn

The BayLearn Symposium aims at gathering scientists in machine learning from the San Francisco Bay Area. While it promotes community building between local researchers from academic and industrial institutions, it also welcomes visitors. This one-day event combines invited talks and posters to foster exchange of ideas.

We encourage the submission of poster abstracts. Acceptable material includes work which has already been submitted or published, preliminary results and controversial findings… All accepted abstracts will be presented as posters, a few will be selected for short oral presentations or lightning talks. We do not intend to publish proceedings, only abstracts will be shared through an online repository. Our primary goal is to foster discussion!

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Transportation Pickup/Dropoff Location: You must use the transportation shuttles to attend BayLearn 2018. Facebook and the City of Menlo Park have an agreement called a "trip cap," which counts the number of vehicles that come in and out of campus every day. It's critical that Facebook stays compliant with this agreement. To stay compliant, Facebook has arranged shuttle transportation for Baylearn attendees for arrival and departures. Please select the shuttle stop you plan to use on October 11 so Facebook can plan accordingly. More detailed transportation information coming soon.
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