Complex/Dynamical Systems Seminar - Nicholas Barendregt

Oct. 11, 2018

Nicholas Barendregt, Department of Applied Mathematics, University of Colorado Boulder Heteroclinic Cycling and Extinction in Winnerless Competition Models with Demographic Stochasticity The winnerless competition formulated by May and Leonard gives a deterministic way to model populations that interact in a rock-paper-scissors style of dominance. However, when applying this and other...

Stats, Optimization, and Machine Learning Seminar - Nishant Mehta

Oct. 9, 2018

Fast Rates for Unbounded Losses: from ERM to Generalized Bayes I will present new excess risk bounds for randomized and deterministic estimators, discarding boundedness assumptions to handle general unbounded loss functions like log loss and squared loss under heavy tails. These bounds have a PAC-Bayesian flavor in both derivation and...

Nonlinear Waves Seminar - Gavriil Shchedrin

Oct. 9, 2018

A path from fractional Schrödinger equation to design and discovery of novel quantum materials Transport phenomena in multi-scale classical systems, such as disordered media, porous materials, and turbulent fluids, are characterized by multiple spatial and temporal scales, nonlocality, fractional geometry, and non-Gaussian statistics. Transport in multi-scale classical materials is described...

APPM Colloquium - Dan Massey

Oct. 5, 2018

Dan Massey, Interdisciplinary Telecom Program, University of Colorado Boulder Cybersecurity Rule 6: Use Cryptography Correctly This talk explores some of the key mathematical concepts used in cybersecurity. Cryptography is one obvious example where mathematics plays a critical role in cybersecurity. However, this talk is not centered around developing new cryptographic...

Complex/Dynamical Systems Seminar - Paul Constantine

Oct. 4, 2018

Do global sensitivity metrics for parameterized dynamical systems admit their own dynamical systems? Continuous time dynamical systems in applications include input parameters (rate constants, forcings, etc.) that must be set using measurement data. The calibration process introduces error in the fitted parameters. Part of assessing the effects of parameter error...

Geophysical/Astrophysical Fluid Dynamics Seminar - Jhett Bordwell and Ryan Orvedahl

Oct. 2, 2018

Jhett Bordwell - Chemical Transport in Giant Planets and Brown Dwarfs Abstract Pending Ryan Orvedahl - Polarity Reversals in Stars and Planets Abstract Pending

Stats, Optimization, and Machine Learning Seminar - Jed Brown

Oct. 2, 2018

Fast Algorithms and Community Software for Physical Prediction, Inference, and Design Physically-based computational models are the foundation of modern science and engineering, providing the only path to reliable prediction and inference in the presence of sparse and indirect observations as well as deeper understanding of interacting physical processes and scales...

APPM Colloquium - Peter F. Craigmile

Sept. 28, 2018

Peter F. Craigmile, Department of Statistics, The Ohio State University Enhancing statistical inference for stochastic processes using modern statistical methods (This is joint research with Radu Herbei, Matthew Pratola, Huong Nguyen, and Grant Schneider, at The Ohio State University.) Stochastic processes such as stochastic differential equations (SDEs) and Gaussian processes...

Complex/Dynamical Systems Seminar - Tahra Lucene Eissa

Sept. 27, 2018

Spatiotemporal Dynamics of Neocortical Seizure Activity Seizures are defined as sudden, abnormal electrical disturbances in the brain. Patients diagnosed with epilepsy have chronic, recurrent seizures and often require clinical intervention to prevent these episodes. Unfortunately, a large portion of epilepsy patients do not respond to current treatment options, in part...

Geophysical/Astrophysical Fluid Dynamics Seminar - Anna Frishman

Sept. 25, 2018

Condensate, fluctuations and symmetries — a tale of 2D turbulence Earth's jet streams, Jupiters Great Red Spot and its zonal winds are all examples of persistent large scale flows, whose dynamics is to a good approximation two-dimensional. These flows are also highly turbulent, and the interaction between the turbulence and...

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