Campuses:

Talks

Date Title / Speaker Event
May 23, 2018 Multiparameter Persistence via Geometric Topology
Michael Catanzaro (University of Florida)
Bridging Statistics and Sheaves
May 23, 2018 Cellular cosheaves for distributed computation of persistent homology
Hee Rhang (Iris) Yoon (University of Pennsylvania)
Bridging Statistics and Sheaves
May 23, 2018 Local-to-global in random topology
Omer Bobrowski (Technion-Israel Institute of Technology)
Bridging Statistics and Sheaves
May 23, 2018 Lecture
Robert Ghrist (University of Pennsylvania)
Bridging Statistics and Sheaves
May 22, 2018 Stratification Learning with Computational Topology: Overview, Challenges, and Opportunities
Bei Wang (The University of Utah)
Bridging Statistics and Sheaves
May 22, 2018 Persistent Local Systems
Amit Patel (Colorado State University)
Bridging Statistics and Sheaves
May 22, 2018 Persistent homology and microlocal sheaf theory
Pierre Schapira (Université de Paris VI (Pierre et Marie Curie))
Bridging Statistics and Sheaves
May 21, 2018 Open Problems in Sheaves of Measured Data
Emilie Purvine (Pacific Northwest National Laboratory)
Bridging Statistics and Sheaves
May 21, 2018 How many directions determine shape and other sufficiency results for topological transforms
Katharine Turner (Australian National University)
Bridging Statistics and Sheaves
May 21, 2018 Statistical models and sheaves
Sayan Mukherjee (Duke University)
Bridging Statistics and Sheaves
May 21, 2018 Reeb graphs, Mapper graphs, and Metrics
Elizabeth Munch (Michigan State University)
Bridging Statistics and Sheaves
May 21, 2018 Introduction to (Co)Sheaves and Open Problems
Justin Curry (University at Albany (SUNY))
Bridging Statistics and Sheaves
May 18, 2018 The Value of Price Discrimination in Large Random Networks
Ankur Mani (University of Minnesota, Twin Cities)
Queueing and Networks
May 18, 2018 Fluid Models of Parallel Service Systems under FCFS
Hanqin Zhang (National University of Singapore)
Queueing and Networks
May 18, 2018 The Electric Power Grid: Potential Problems with Renewable Sources and New Types of Loads
Michael Polis (Oakland University)
Queueing and Networks
May 17, 2018 Seminar: Data Recovery, Information Revealing, Tensor Completion and Optimization
Shuzhong Zhang (University of Minnesota, Twin Cities)
Queueing and Networks
May 17, 2018 The Method of Chaining for Many Server Queues
Guodong Pang (The Pennsylvania State University)
Queueing and Networks
May 17, 2018 An Averaging Principle for Two-Time-Scale Functional Diffusions
Fuke Wu (Huazhong University of Science and Technology)
Queueing and Networks
May 17, 2018 Ergodic properties of Lévy-driven SDEs arising from multiclass many-server networks, and ergodic control of a related class of jump diffusions
Aristotle Arapostathis (The University of Texas at Austin)
Queueing and Networks
May 16, 2018 We are on the Way: Analysis of On-Demand Ride-Hailing Systems
Guangwen Kong (University of Minnesota, Twin Cities)
Queueing and Networks
May 16, 2018 Dynamic Market Prices for Call Centers with Co-Sourcing Subject to Non-stationary Demand
Sherwin Doroudi (University of Minnesota, Twin Cities)
Queueing and Networks
May 16, 2018 Asymptotically Optimal Inventory Control for Assemble-to-Order Systems
Martin Reiman (Columbia University)
Queueing and Networks
May 16, 2018 Sensitivity Analysis for Reflected Diffusions in Convex Polyhedral Domains
Kavita Ramanan (Brown University)
Queueing and Networks
May 15, 2018 A Dirichlet Process Characterization of RBM in a Wedge
Joshua Reed (New York University)
Queueing and Networks
May 15, 2018 Controlled Sensing in Social Networks
Vikram Krishnamurthy (Cornell University)
Queueing and Networks
May 15, 2018 A Network Model for Financial Systemic Risk
David Yao (Columbia University)
Queueing and Networks
May 15, 2018 Control Policies Approaching HGI Performance in Heavy Traffic for Resource Sharing Networks
Amarjit Budhiraja (University of North Carolina, Chapel Hill)
Queueing and Networks
May 14, 2018 Mathematicothermodynamics
Hong Qian (University of Washington)
Queueing and Networks
May 14, 2018 Steady-state convergence
Jim Dai (Cornell University)
Queueing and Networks
May 11, 2018 Linear Quadratic Mean Field Games: Asymptotic solvability and the fixed point approach
Minyi Huang (Carleton University)
Stochastic Control, Computational Methods, and Applications
May 11, 2018 Mean Field Games on Infinite Networks and the Graphon-MFG Equations
Peter Caines (McGill University)
Stochastic Control, Computational Methods, and Applications
May 11, 2018 Linear-quadratic control for bilinear evolution equations with Gauss-Volterra processes
Bozenna Pasik-Duncan (University of Kansas)
Stochastic Control, Computational Methods, and Applications
May 11, 2018 Some Explicitly Solvable Stochastic Differential Games
Tyrone Duncan (University of Kansas)
Stochastic Control, Computational Methods, and Applications
May 10, 2018 Optimal Harvesting Strategies for a Predator-Prey System in Fluctuating Environments.
Dang Hai Nguyen (Wayne State University)
Stochastic Control, Computational Methods, and Applications
May 10, 2018 Data Assimilation for High Dimensional Systems – Challenges, algorithms and opportunities
Wei Kang (Naval Postgraduate School)
Stochastic Control, Computational Methods, and Applications
May 10, 2018 On the independence of the value function for stochastic differential games of the probability space
Nicolai Krylov (University of Minnesota, Twin Cities)
Stochastic Control, Computational Methods, and Applications
May 10, 2018 Stationary-Action for Conservative Systems and Diffusion-Based Representations for the Schrödinger Equation
William McEneaney (University of California, San Diego)
Stochastic Control, Computational Methods, and Applications
May 10, 2018 Minimum Energy Estimation Applied to the Lorenz Attractor
Arthur Krener (Naval Postgraduate School)
Stochastic Control, Computational Methods, and Applications
May 09, 2018 Deep Learning-Based Numerical Methods for High-Dimensional Stochastic Control Problems and Parabolic PDEs
Jiequn Han (Princeton University)
Stochastic Control, Computational Methods, and Applications
May 09, 2018 Discrete-Time Hybrid Control Models
Hector Jasso-Fuentes (CINVESTAV)
Stochastic Control, Computational Methods, and Applications
May 09, 2018 Numerical Approximations for Minimax Markov Control Problems
Tomás Prieto Rumeau (Universidad Nacional de Educación a Distancia (UNED))
Stochastic Control, Computational Methods, and Applications
May 09, 2018 Average cost per unit time control problem of Markov processes with degenerate observation
Lukasz Stettner (Polish Academy of Sciences)
Stochastic Control, Computational Methods, and Applications
May 09, 2018 On ergodic impulse control with constraint
Maurice Robin (École Polytechnique)
Stochastic Control, Computational Methods, and Applications
May 09, 2018 On Stopping Times and Impulse Control with Constraint
Jose Menaldi (Wayne State University)
Stochastic Control, Computational Methods, and Applications
May 09, 2018 A variational formula for risk-sensitive control
Vivek Borkar (Indian Institute of Technology)
Stochastic Control, Computational Methods, and Applications
May 08, 2018 Equilibrium Strategies for Time-Inconsistent Stochastic Switching Systems
Hongwei Mei (University of Kansas)
Stochastic Control, Computational Methods, and Applications
May 08, 2018 Numerical approximation of average Markov decision processes in continuous-time
Francois Dufour (Université de Bordeaux I)
Stochastic Control, Computational Methods, and Applications
May 08, 2018 Control of discrete-time Markov jump linear systems with partial information
Oswaldo Costa (University of São Paulo (USP))
Stochastic Control, Computational Methods, and Applications
May 08, 2018 Objective Functionals of Machine Learning on Graphs and their Continuum Limits
Dejan Slepcev (Carnegie Mellon University)
Data Science Seminar
May 08, 2018 Time-Inconsistent Optimal Control Problems
Jiongmin Yong (University of Central Florida)
Stochastic Control, Computational Methods, and Applications
May 08, 2018 Hedging with friction
H. Mete Soner (ETH Zürich)
Stochastic Control, Computational Methods, and Applications
May 08, 2018 Subsolutions of a Hamilton-Jacobi- Bellman Equation and the Design of Rare Event Simulation Methods
Paul Dupuis (Brown University)
Stochastic Control, Computational Methods, and Applications
May 07, 2018 Partially observed risk-sensitive control of path-dependent discrete-time systems
Hidehiro Kaise (Osaka University)
Stochastic Control, Computational Methods, and Applications
May 07, 2018 A Weak Convergence Approach to Inventory Control Using a Long-term Average Criterion
Chao Zhu (University of Wisconsin, Milwaukee)
Stochastic Control, Computational Methods, and Applications
May 07, 2018 On Merton Portfolio Optimization Problems
Shuenn-jyi Sheu (National Central University)
Stochastic Control, Computational Methods, and Applications
May 07, 2018 Large deviation control and an optimal investment model
Hideo Nagai (Kansai University)
Stochastic Control, Computational Methods, and Applications
May 07, 2018 Differential Games
Wendell Fleming (Brown University)
Stochastic Control, Computational Methods, and Applications
May 07, 2018 Zero-sum stochastic differential games without the Isaacs condition: random rules of priority and intermediate Hamiltonians
Daniel Hernandez-Hernandez (Center of Investigations in Mathematics (CIMAT))
Stochastic Control, Computational Methods, and Applications
May 01, 2018 Application of artificial intelligence to the standard 12 lead ECG to identify people with left ventricular dysfunction
Zachi Attia
Data Science Seminar
May 01, 2018 Application of artificial intelligence to the standard 12 lead ECG to identify people with left ventricular dysfunction
Zachi Attia (Mayo Clinic)
Industrial Problems Seminar
April 27, 2018 Data Science in Risk Underwriting and Pricing: Challenges and Opportunities
Guy-vanie Miakonkana (Travelers Insurance)
Industrial Problems Seminar
April 27, 2018 Spatio-Temporal Point Process Models for Ambulance Demand
David S. Matteson (Cornell University)
Forecasting from Complexity
April 27, 2018 Relevant parameter changes in structural break models
Arnaud Dufays (Laval University)
Forecasting from Complexity
April 27, 2018 Regularized Estimation in High-dimensional Time Series Models
Sumanta Basu (Cornell University)
Forecasting from Complexity
April 27, 2018 Optimal Dimension Reduction for Vector and Functional Time Series
Marc Hallin (Université Libre de Bruxelles)
Forecasting from Complexity
April 26, 2018 Geometric Statistics for High-Dimensional Data Analysis
Singdhansu (Ansu) Chatterjee (University of Minnesota, Twin Cities)
Forecasting from Complexity
April 26, 2018 Phase transitions and conic geometry
Joel Tropp (California Institute of Technology)
Data Science Seminar
April 26, 2018 Fast Simulation based Estimation for Complex Models
Maria-Pia Victoria-Feser (Universite de Geneve)
Forecasting from Complexity
April 26, 2018 Dynamic Shrinkage Processes
Daniel Kowal (Rice University)
Forecasting from Complexity
April 26, 2018 Half-spectral space-time models
Joe Guinness (North Carolina State University)
Forecasting from Complexity
April 26, 2018 Multi-class modelling for muscle level prediction of beef eating quality
Garth Tarr (University of Sydney)
Forecasting from Complexity
April 26, 2018 Non-parametric Sparse Additive Auto-regressive Network Models
Garvesh Raskutti (University of Wisconsin, Madison)
Forecasting from Complexity
April 26, 2018 Stochastic Simulation of Predictive Space-Time Scenarios of Wind Speed Using Observations and Physical Models
Mihai Anitescu (Argonne National Laboratory)
Forecasting from Complexity
April 26, 2018 Inference for Spatio-Temporal Changes of Arctic Sea Ice
Noel Cressie (University of Wollongong)
Forecasting from Complexity
April 25, 2018 Dynamic Filtering of Time-Varying Sparse Signals
Christopher Rozell (Georgia Institute of Technology)
Forecasting from Complexity
April 25, 2018 Nonparametric inference for Hawkes processes. Applications for estimating functional connectivity graphs of neurons.
Vincent Rivoirard (Université Paris-Dauphine)
Forecasting from Complexity
April 25, 2018 Deep Spatial Learning for Forensic Geolocation with Microbiome Data
Brian Reich (North Carolina State University)
Forecasting from Complexity
April 25, 2018 Verification within Complexity: Comparing Spatial Fields
Eric Gilleland (National Center for Atmospheric Research)
Forecasting from Complexity
April 25, 2018 Estimation of inhomogeneous point processes: Theory and applications
Mark Davenport (Georgia Institute of Technology)
Forecasting from Complexity
April 25, 2018 Forecasting Realized Volatility Measures with Multivariate and Univariate Models: The Case of The US Banking Sector
Alain Hecq (Universiteit Maastricht (Rijksuniversiteit Limburg))
Forecasting from Complexity
April 24, 2018 Network Estimation from Point Process Data
Rebecca Willett (University of Wisconsin, Madison)
Forecasting from Complexity
April 24, 2018 Spatiotemporal modelling of ocean surface velocities from drifters
Adam Sykulski (University of Lancaster)
Forecasting from Complexity
April 24, 2018 Spectral analysis for comparison of second-order flow structure in DNS simulations
Charlotte Haley (Argonne National Laboratory)
Forecasting from Complexity
April 24, 2018 Sketchy decisions: Low-rank convex matrix optimization with optimal storage
Joel Tropp (California Institute of Technology)
Data Science Seminar
April 24, 2018 Bayesian Calibration of Multistate Stochastic Simulators
Oksana Chkrebtii (The Ohio State University)
Forecasting from Complexity
April 24, 2018 Robust maximum association estimators
Peter Filzmoser (Technische Universität Wien)
Forecasting from Complexity
April 24, 2018 Sequential change-point detection for Hawkes processes over networks
Yao Xie (Georgia Institute of Technology)
Forecasting from Complexity
April 24, 2018 Generating Calibrated Ensembles of Physically Realistic, High-Resolution Precipitation Forecast Fields Based on GEFS Model Output
Michael Scheuerer (National Oceanographic and Atmospheric Administration (NOAA))
Forecasting from Complexity
April 24, 2018 Assessing Internal Climate Variability with Few Ensemble Runs
Dorit Hammerling (NCAR)
Forecasting from Complexity
April 23, 2018 Applied Random Matrix Theory
Joel Tropp (California Institute of Technology)
Data Science Seminar
April 23, 2018 School of Math Ordway Distinguished Lecture: Applied Random Matrix Theory
Joel Tropp
Forecasting from Complexity
April 23, 2018 High-dimensional Linear Regression for Dependent Observations with Application to Nowcasting
Ruey Tsay (University of Chicago)
Forecasting from Complexity
April 23, 2018 Sparse Identification and Estimation of High-Dimensional Vector AutoRegressive Moving Averages
Ines Wilms (Katholieke Universiteit Leuven)
Forecasting from Complexity
April 23, 2018 The local partial autocorrelation function and its use in forecasting
Rebecca Killick (University of Lancaster)
Forecasting from Complexity
April 23, 2018 Fast spike train inference via l0 optimization
Daniela Witten (University of Washington)
Forecasting from Complexity
April 23, 2018 Complexity vs Parsimony: The Challenge of Building Effective Nonlinear Dynamical Spatio-Temporal Forecasting Model
Chris Wikle (University of Missouri)
Forecasting from Complexity
April 20, 2018 A Path to Industry: Some things you can do today to succeed tomorrow
Tatiana Yarmola (J.P. Morgan AG)
Industrial Problems Seminar
April 17, 2018 Population Genomics of Host-microbiome Interactions
Ran Blekhman (University of Minnesota, Twin Cities)
Data Science Seminar
April 13, 2018 A Field Guide to Data Science in the Wild
Dan Atkins (Optum)
Industrial Problems Seminar
April 10, 2018 Path-space information metrics and variational inference for coarse-grained non-equilibrium steady states
Petr Plechac (University of Delaware)
Working Group on Mathematical Modeling of Finite-temperature Coarse-graining

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