Nov
11
Representation Theory in Machine Learning
SpeakerRisi KondorUniversity of Chicagohttp://www.cs.uchicago.edu/people/risi/ Description Representation theory, specifically, non-commutative Fourier transforms, have recently found several...
Events Archive
Find an Event
Currently selected filters
- Applied Mathematics
- Colloquia
Nov
4
Effects of Latency
SpeakerRichard SowersUniversity Illinois at Urbana-Champaignhttp://www.math.uiuc.edu/~r-sowers/ Description We discus some ways to think about latency in asset pricing. We consider a framework...
Oct
28
Geometry and Dynamics of Reaction System
SpeakerAnne ShiuUniversity of Chicagohttp://math.uchicago.edu/~annejls/ Description Chemical reaction networks are directed graphs in which each edge represents a chemical reaction. The most basic...
Oct
24
Various Topics on How to Be a Successful Mathematician
Description The talk will discuss the following topics: Various representations of coordinate rotations and properties of such matrices. Representation of rotation rates and how these rates are...
Oct
14
Stochastic Approximation of Score Functions for Gaussian Processes
SpeakerJie ChenArgonne National Laboratoryhttp://www.mcs.anl.gov/~jiechen/ Description Gaussian processes are the cornerstone of statistical analysis in many application areas. However, most of the...
Oct
9
The Changing Role of Applied Mathematics in Fluid Research Dynamics
Description Fluid dynamics and applied mathematics have a long shared history, with fluid dynamics providing some of the most challenging problems for applied mathematicians to tackle, and applied...
Sep
30
Simulating Dense Suspensions of Soft Particulate Flows
SpeakerShravan VeerpaneniDepartment of Mathematics;University of Michiganhttp://www.math.lsa.umich.edu/~shravan/ Description Direct numerical simulations of vesicles, bubbles, and other soft-particle...
Sep
23
Conditional Independence Structures for Mixed Graphs
SpeakerKayvan SadeghiDepartment of Statistics;Carnegie Mellon Universityhttp://www.stat.cmu.edu/people/faculty/kayvans Description In this talk we describe several classes of graphs used in the...
Sep
16
What Do Sudoku and Turbulence Have in Common?
SpeakerZoltan ToroczkaiPhysics Department;University of Notre Damehttp://obelix.phys.nd.edu/~toro/ Description The mathematical structure of many number puzzles such as Sudoku is akin to hard...
Sep
9
Active Learning: Past, Present, and Future
SpeakerMustafa BilgicDepartment of Computer Science;Illinois Institute of Technologyhttp://www.cs.iit.edu/~mbilgic/ Description A fundamental task of machine learning is prediction, where a model is...