Contact Us
Give us a call or drop by anytime, we endeavor to answer all inquiries within 24 hours.
Find us
PO Box 16122 Collins Street West Victoria, Australia
Email us
info@domain.com / example@domain.com
Phone support
Phone: + (066) 0760 0260 / + (057) 0760 0560
10 events found.
Events
-
-
-
-
Jeffrey L. Elman Distinguished Lecture Series: The Decision-Making Side of Machine Learning: Computational, Inferential and Economic Perspectives
Title: The Decision-Making Side of Machine Learning: Computational, Inferential and Economic Perspectives Abstract: Much of the recent focus in machine learning has been on the pattern-recognition side of the field. I will focus instead on the decision-making side, where many fundamental challenges remain. Some are statistical in nature, including the challenges associated with multiple decision-making, […]
-
Seminar: Graph Theoretical Descriptors for Biomimetic Nanoparticles and Fibrous Nanocomposites
Zoom ID: https://cuboulder.zoom.us/j/96007553384 Password: i-aim Nicholas Kotov (U Michigan) "Graph Theoretical Descriptors for Biomimetic Nanoparticles and Fibrous Nanocomposites" Abstract: Descriptors based on graph theory (GT) are needed to achieve accurate representations of two classes of nanostructures for the successful application of machine learning (ML). First, a method to depict protein structure at molecular, nanoscale, and sub-microscale levels […]
-
-
Seminar: Recourse in Machine Learning
Please join us on Tuesday, June 1 @ 2:00 pm for a ZOOM talk by Berk Ustun. The talk will be about 45 minutes and will be followed by a 30 minute Q&A.Title: Recourse in Machine LearningAbstract: Machine learning models are often used to automate decisions that affect humans: whether to approve a loan, extend a […]
-
Seminar: Leonidas Guibas, Stanford University
Zoom ID: https://cuboulder.zoom.us/j/2251625831 Password: i-aim Leonidas Guibas, Stanford University TBA Abstract: TBA About the Speaker: TBA
-
-
Data Science Insights Speaker Series: Yian Ma
Details Exploration Problem in Sequential Decision Making: A Computational Perspective by Yian Ma Abstract: Efficient Exploration is often the bottleneck for solving sequential decision making problems. Many different approaches have been proposed and analyzed, such as explore-then-commit, upper confidence bound, etc. Much of the focus has been on using frequentist perspectives to understand and develop […]
-
Seminar: Machine Learning for Biomimetic Nanoparticles and Fibrous Nanocomposites
ZoomID: https://cuboulder.zoom.us/j/96007553384 Password:i-aim Nicholas Kotov, University of Michigan "Machine Learning for Biomimetic Nanoparticles and Fibrous Nanocomposites" Abstract: TBA About the Speaker: TBA
-
Seminar: Machine Learning for Force Field Parameterization – Application to 2D Materials
Title: Machine learning for force field parameterization -- Application to 2D materials Speaker: Horacio Espinosa (Northwestern University) Abstract: The parameterization of interatomic potentials for molecular dynamics (MD) simulations has long been a highly-specialized endeavor requiring strong domain expertise and in most cases deep chemical intuition. We propose a robust approach incorporating multi-objective genetic algorithms and […]