The International Conference on Machine Learning (ICML) will be taking place on Sunday, June 9 – Saturday, June 15 in Long Beach, California. At ICML, researchers from academia and industry gather to learn, present and publish research. SigOpt has sponsored ICML since 2017 and published research at the conference since 2016. Along with our Academic and Internship Programs, conferences like ICML are a primary way in which SigOpt’s research team continues to invest in and collaborate with the broader machine learning and Bayesian optimization communities. 

SigOpt is excited to sponsor this year’s conference. To engage with our team at the event, visit our Expo Demonstration on Sunday, visit Booth 125 all week, attend our recruiting happy hour or drop by our workshops to learn more about our papers that show the results of collaboration with some of our academic partners. If you can’t make the events, look us up on Whova app and we are happy to find time to meet. We look forward to seeing you there!

 

Meet SigOpt at ICML

Expo Demonstration: Addressing practical barriers to applied learning models
Sunday, June 9th, 2:00PM — 6:30PM @ Room 101
In this demo, SigOpt’s research shares modeling techniques and software products that are the result of addressing some of these real-world barriers to building productive models and scaling the modeling processes that are necessary to productionalize them.

Visit us all week at Booth 125
Have questions or want to learn more about SigOpt? Visit us at booth 125 in the expo hall to meet our team. We are more than happy to talk about our Academic Program, the exciting career opportunities at SigOpt, or how you can try our solution to scale your modeling processes. Schedule a 1:1 with our team to see how SigOpt can help with your modeling needs. And, as always, you can pick up the latest SigOpt swag along the way!

 

Workshop Papers from the SigOpt Research Team

SigOpt Research frequently collaborates with members of the community at other companies or in academia to develop insights on the use of Bayesian optimization and other statistical methods. Below are examples of papers we will be presenting alongside these collaborators at ICML this year. Stop by these workshops to learn more about these papers or drop by Booth 125 to meet the team and discuss during the week.

Using Bayesian Optimization to Improve Solar Panel Performance by Developing Antireflective, Superomniphobic Glass [pdf][poster][blog part 1] [blog part 2]
Sajad Haghanifar, Bolong Cheng, Michael McCourt, Paul Leu
Workshop: Climate Change: How Can AI Help?
Friday, June 14th, 8:30 AM — 6:00 PM @ Room 104 A

Sampling Humans for Optimizing Preferences in Coloring Artwork [pdf][poster]
Michael McCourt, Ian Dewancker
Workshop: 2019 Workshop on Human In the Loop Learning (HILL)
Friday, June 14th, 8:30 AM — 6:00 PM @ Room 103

Bayesian Optimization over Sets [pdf][poster]
Jungtaek Kim, Michael McCourt, Saehoon Kim, Tackgeun You, Seungjin Choi
Workshop: 6th ICML Workshop on Automated Machine Learning (AutoML 2019)
Friday, June 14th, 8:30 AM — 6:00 PM @ Grand Ballroom B

Practical Complications in Applying Bayesian Optimization to Understand Tradeoffs between Substrate Fabrication Processes [pdf][poster]
Sajad Haghanifar, Bolong Cheng, Michael McCourt, Paul Leu
Workshop: Real-World Sequential Decision Making: Reinforcement Learning and Beyond
Friday, June 14th, 2:00 PM — 6:00 PM @ Seaside Ballroom

Featured Articles

We are fortunate to be part of an awesome Bayesian optimization community. We would like to highlight the work of current and former collaborators below and congratulate them on their achievements. Be sure to check out their talks, posters, blogs, and papers.

Bayesian Optimization of Composite Functions [pdf][blog]
Raul Astudillo, Peter Frazier
Oral: Wednesday, June 12th, 5:05 — 5:10 PM @ Room 101
Poster: Wednesday, June 12th, 6:30 — 9:00 PM @ Pacific Ballroom #237

Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks [pdf]
Juho Lee, Yoonho Lee, Jungtaek Kim, Adam Kosiorek, Seungjin Choi, Yee Whye Teh
Oral: Tuesday, June 11th, 4:24 — 4:30 PM @ Hall A
Poster: Tuesday, June 11th, 6:30 — 9:00 PM @ Pacific Ballroom #23

DL2: Training and Querying Neural Networks with Logic [pdf]
Marc Fischer, Mislav Balunović, Dana Drachsler-Cohen, Timon Gehr, Ce Zhang, Martin Vechev
Oral: Tuesday, June 11th, 5:15 — 5:20 PM @ Grand Ballroom
Poster: Tuesday, June 11th, 6:30 — 9:00 PM @ Pacific Ballroom #90

DAG-GNN: DAG Structure Learning with Graph Neural Networks [pdf]
Yue Yu, Jie Chen, Tian Gao, Mo Yu
Oral: Thursday, June 13th, 12:10 — 12:15 PM @ Room 101
Poster: Thursday, June 13th, 6:30 — 9:00 PM @ Pacific Ballroom #215

Events

ICML presents a great opportunity to trade ideas, share more information on careers at SigOpt and have fun in Long Beach. To do all of the above, we are hosting a variety of events throughout the week. Sign up for our recruiting happy hour or get in touch with us to learn more about less formal events that are specific to certain research topics that we will be hosting at the event.

Sign up to join our happy hour and learn about careers at SigOpt
Wednesday, June 12th, 6:00 PM — 8:00 PM 
The Auld Dubliner
71 S Pine Ave
Long Beach, CA 90802

Bayesian optimization community events
We are hosting a variety of informal by-invitation-only events. Please email [email protected] to learn more and join us for these gatherings.