The SIAM Conference on Optimization will take place during May 26-29, 2020 at Hong Kong Polytechnic University. The applied mathematics, statistics and operations research communities around the globe will meet for 4 days in an exciting series of minisymposia and plenary lectures ranging from black box methods to proofs of second order convergence to the use of quantum computing in optimization.
SigOpt research will be hosting a minisymposium during this meeting, with details provided below. Please reach out to us if you have questions about the session; additional information regarding the speakers and their talks will be posted here as we approach the conference. This session will be a unique opportunity to hear from optimization experts in industry from Asia and North America.
Minisymposium Practical Issues in Sample Efficient Black-Box Optimization
- Jungtaek Kim, Ph. D. Candidate in Computer Science, POSTECH
- Automated Brick Assembly with Bayesian Optimization
- Michael McCourt, Research Engineer, SigOpt
- Constrained Multiobjective Optimization for Materials Design
- Shotaro Sano, Machine Learning Engineer, Preferred Networks
- Optuna, an Eager Execution Hyper-Parameter Optimization Library
- Kevin Tee, Data Scientist, Uber Freight
- Pure Exploration in Unimodal Bandits