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November 07, 2018 |
Optimal treatment and timing of routine surveillance in children after allogeneic hematopoietic cell transplantaion
Zhezhen Jin (Columbia University) |
Statistical and Computational Challenges in Precision Medicine |
|
November 07, 2018 |
A Bayesian Imputation Approach to Optimizing Dynamic Treatment Regimes
Thomas Murray (University of Minnesota, Twin Cities) |
Statistical and Computational Challenges in Precision Medicine |
|
November 07, 2018 |
How good is your selected subgroup?
Xuming He (University of Michigan) |
Statistical and Computational Challenges in Precision Medicine |
|
November 05, 2018 |
Solving Infinite Dimensional Optimization Problems with Convergence Guarantees
Matthew Jacobs (University of California, Los Angeles) |
Data Science Seminar |
|
November 02, 2018 |
Using Electronic Health Record Data for Clinical Analyses: Early Learnings
Joao Montero (Medtronic) |
Industrial Problems Seminar |
|
October 29, 2018 |
A Picture of the Energy Landscape of Deep Neural Networks
Pratik Chaudhari (California Institute of Technology) |
Data Science Seminar |
|
October 26, 2018 |
Generalization and regularization in deep learning for nonlinear inverse problems
Maarten De Hoop (Rice University) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 26, 2018 |
Primal-dual algorithms and their applications
Ming Yan (Michigan State University) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 26, 2018 |
Addressing spatial uncertainty during remote sensing data analysis
Alina Zare (University of Florida) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 25, 2018 |
On the Use of Gaussian Process Models for Problems in CubeSat Data Interpolation
Eric Miller (Tufts University) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 25, 2018 |
Matched-pair machine learning for hyperspectral target detection
Amanda Ziemann (Los Alamos National Laboratory) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 25, 2018 |
Advances in Supervised and Semi-Supervised Machine Learning for Image Analysis of Multi-Modal Geospatial Imagery Data
Saurabh Prasad (University of Houston) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 25, 2018 |
Novel Machine Learning Methods for Extraction of Features Characterizing Complex Datasets and Models
Velimir Vesselinov (Los Alamos National Laboratory) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 25, 2018 |
Machine Learning Applied to Discern Fault Characteristics
Paul Johnson (Los Alamos National Laboratory) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 25, 2018 |
Regularization and Compression via Tensor Dictionaries
Misha Kilmer (Tufts University) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 24, 2018 |
Machine Learning for Background Estimation in Multispectral Imagery
James Theiler (Los Alamos National Laboratory) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 24, 2018 |
Harmonization and Fusion of Global Scale Data
Nathan Longbotham (Descartes Labs, Inc.) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 24, 2018 |
GEO-AI - the birth of a new discipline
Eldad Haber (University of British Columbia) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 24, 2018 |
Space-borne SAR interferometry: Three Decades of Innovation and Problem Solving
Manoochehr Shirzaei (Arizona State University) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 24, 2018 |
Learning generative models of monostatic and bistatic synthetic aperture radar imagery
Emre Ertin (The Ohio State University) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 24, 2018 |
Indomitable segmentation and pooling: A new perspective on clairvoyant fusion
Alan Schaum (Naval Research Laboratory) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 23, 2018 |
Machine Learning in Imaging and Inverse Problems: Where is it Going?
Charles Bouman (Purdue University) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 23, 2018 |
On the effectiveness of joint inversion
Jodi Mead (Boise State University) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 23, 2018 |
Impact of geological stress on flow and transport in fractured media
Peter Kang (University of Minnesota, Twin Cities) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 23, 2018 |
Information-theoretic approaches for multiscale simulations and data assimilation
Francesca Boso (Stanford University) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 23, 2018 |
Machine learning in pre- and post-imaging seismic data with different roles of wave physics
Weichang Li (Aramco Services Company) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 23, 2018 |
Dictionary learning and graph signal processing on a 5200 element seismic array
Peter Gerstoft (University of California, San Diego) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 22, 2018 |
Inverse methods for estimating fracture transmissibilities in porous media
Clint Dawson (The University of Texas at Austin) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 22, 2018 |
Geometric separation and applications to hyperspectral image analysis
Demetrio Labate (University of Houston) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 22, 2018 |
Hierarchical deep generative networks for Bayesian inverse problems
Pengchuan Zhang (Microsoft Research) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 22, 2018 |
Large Sample Asymptotics of Graph-based Methods in Machine Learning: Mathematical Analysis and Implications
Nicolas Garcia-Trillos (University of Wisconsin, Madison) |
Data Science Seminar |
|
October 22, 2018 |
Fast and Accurate Maximum-Likelihood Estimation of Parameterized Spectral Densities that Jointly Characterize Bivariate Two-Dimensional Random Fields
Frederik Simons (Princeton University) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 22, 2018 |
Multiscale methods for neural image processing
Tom Goldstein (University of Maryland) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 22, 2018 |
Overview of today’s joint inversion methodology and its future into the machine-learning era for geophysical imaging
Monica Maceira (Oak Ridge National Laboratory) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
|
October 19, 2018 |
Lunch breakout group on the future of Clp/Cbc
Ted Ralphs (Lehigh University) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 19, 2018 |
Reports from breakout groups
Ted Ralphs (Lehigh University) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 19, 2018 |
Panel: Research software challenges
Matthias Koeppe (University of California, Davis), Ted Ralphs (Lehigh University), Matthew Saltzman (Clemson University) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 18, 2018 |
Reports from breakout groups
Matthias Koeppe (University of California, Davis) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 18, 2018 |
Track 2: Special interest group on interfaces
Matthew Saltzman (Clemson University) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 18, 2018 |
Track 1: hands-on tutorial - Bug squashing: from TRAC to Github
Ted Ralphs (Lehigh University) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 18, 2018 |
Lunch - on your own or with breakout group on the future of the COIN-OR Foundation
Matthew Saltzman (Clemson University) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 18, 2018 |
Panel: Developing generic interfaces
Oscar Dowson (Northwestern University), Horand Gassmann (Dalhousie University), Bjarni Kristjansson (Maximal Software, Ltd), Matthew Saltzman (Clemson University) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 18, 2018 |
COIN-OR interfaces: OSI, CGL
Matthew Saltzman (Clemson University) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 17, 2018 |
Reports from breakout groups
Matthias Koeppe (University of California, Davis) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 17, 2018 |
Hands-on tutorial - Developing Python bindings
William Hart (Sandia National Laboratories), Carl Laird (Sandia National Laboratories), Jean-Paul Watson (Sandia National Laboratories) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 17, 2018 |
Lunch - on your own or with breakout group on licensing issues
Matthew Saltzman (Clemson University) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 17, 2018 |
Python bindings for Ipopt
Carl Laird (Sandia National Laboratories) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 17, 2018 |
Alternative packages for Python bindings
William Hart (Sandia National Laboratories) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 17, 2018 |
Python bindings: Overview and challenges
Jean-Paul Watson (Sandia National Laboratories) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 16, 2018 |
Reports from breakout groups
Matthias Koeppe (University of California, Davis) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 16, 2018 |
Track 1: hands-on tutorial - Unit testing and CI in C++/Python
Ted Ralphs (Lehigh University) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 16, 2018 |
Track 2: Special interest group on big-picture documentation issues
Giacomo Nannicini (IBM) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 16, 2018 |
Lunch - on your own or with breakout group on website management
Andrew Mason (University of Auckland) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 16, 2018 |
Documentation in the modern age
Giacomo Nannicini (IBM) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 16, 2018 |
Some Perspectives on Testing and Continuous Integration for Open Source Software
William Hart (Sandia National Laboratories), John Siirola (Sandia National Laboratories) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 16, 2018 |
Continuous integration and testing in COIN-OR
Ted Ralphs (Lehigh University) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 15, 2018 |
Track 1: hands-on tutorial - Version Control
Ted Ralphs (Lehigh University) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 15, 2018 |
Track 2: hands-on tutorial - Build System
Stefan Vigerske (GAMS Development Corporation) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 15, 2018 |
Free Component Analysis
Raj Nadakuditi (University of Michigan) |
Data Science Seminar |
|
October 15, 2018 |
Build Tools
Stefan Vigerske (GAMS Development Corporation) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 15, 2018 |
Project Management
Ted Ralphs (Lehigh University) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 15, 2018 |
COIN-OR and the Optimization Suite
Ted Ralphs (Lehigh University) |
COIN fORgery: Developing Open Source Tools for Operations Research |
|
October 12, 2018 |
Artificial Intelligence in a Material World
Jennifer Schumacher (3M) |
Industrial Problems Seminar |
|
October 08, 2018 |
A PDE Approach to a Prediction Problem Involving Randomized Strategies
Nadejda Drenska (University of Minnesota, Twin Cities) |
Data Science Seminar |
|
October 05, 2018 |
Sample-Based Optimal Pricing
Omar Besbes (Columbia University) |
Forging a New Discipline: Data-driven Supply Chain Management |
|
October 05, 2018 |
Design of Information Sharing Mechanisms in Service Systems
Krishnamurthy Iyer (Cornell University) |
Forging a New Discipline: Data-driven Supply Chain Management |
|
October 05, 2018 |
Where to find the next passenger on e-hailing platform? - A reinforcement learning approach
Sharon Di (Columbia University) |
Forging a New Discipline: Data-driven Supply Chain Management |
|
October 05, 2018 |
Omni-Channel Order Fulfillment: From Concept to Practice
Vivek Farias (Massachusetts Institute of Technology) |
Forging a New Discipline: Data-driven Supply Chain Management |
|
October 04, 2018 |
Dynamic Assortment Planning under Various Discrete Choice Models
Xi Chen (New York University) |
Forging a New Discipline: Data-driven Supply Chain Management |
|
October 04, 2018 |
Closing the Gap: A Learning Algorithm for the Lost-Sales Inventory System with Lead Times
Cong Shi (University of Michigan) |
Forging a New Discipline: Data-driven Supply Chain Management |
|
October 04, 2018 |
Distributionally Robust Linear and Discrete Optimization with Marginals
Karthik Natarajan (Singapore University of Technology and Design) |
Forging a New Discipline: Data-driven Supply Chain Management |
|
October 04, 2018 |
Joint pricing and inventory control models with long lead times
Xin Chen (University of Illinois at Urbana-Champaign) |
Forging a New Discipline: Data-driven Supply Chain Management |
|
October 04, 2018 |
Smart Predict, then Optimize
Adam Elmachtoub (Columbia University) |
Forging a New Discipline: Data-driven Supply Chain Management |
|
October 04, 2018 |
Approximation Algorithms for Network Revenue Management
Huseyin Topaloglu (Cornell University) |
Forging a New Discipline: Data-driven Supply Chain Management |
|
October 04, 2018 |
Behavioral Analytics for Myopic Agents
Philip Kaminsky (University of California, Berkeley) |
Forging a New Discipline: Data-driven Supply Chain Management |
|
October 03, 2018 |
A Conditional Gradient Approach for Nonparametric Estimation of Mixing Distributions
Srikanth Jagabathula (New York University) |
Forging a New Discipline: Data-driven Supply Chain Management |
|
October 03, 2018 |
Online Assortment Optimization with Reusable Resources
Vineet Goyal (Columbia University) |
Forging a New Discipline: Data-driven Supply Chain Management |
|
October 03, 2018 |
Interpretable Optimal Stopping
Velibor Misic (University of California, Los Angeles) |
Forging a New Discipline: Data-driven Supply Chain Management |
|
October 03, 2018 |
Predicting with Proxies
Hamsa Bastani (Wharton School of the University of Pennsylvania) |
Forging a New Discipline: Data-driven Supply Chain Management |
|
October 03, 2018 |
Auction Design for ROI-Constrained Buyers
Ilan Lobel (New York University) |
Forging a New Discipline: Data-driven Supply Chain Management |
|
October 03, 2018 |
Crowdsourcing Operations: Incentivizing Bike Angels in America
David Shmoys (Cornell University) |
Forging a New Discipline: Data-driven Supply Chain Management |
|
October 03, 2018 |
Procurement in the twenty first century: New approaches to old problems
Awi Federgruen (Columbia University) |
Forging a New Discipline: Data-driven Supply Chain Management |
|
October 03, 2018 |
Spotting Influential Customers for Targeted Offers: From Social to Nonsocial
Georgia Perakis (Massachusetts Institute of Technology) |
Forging a New Discipline: Data-driven Supply Chain Management |
|
October 01, 2018 |
Scalable Collaboration for Data Science Done in Open Source Tools and Frameworks
Tyler Whitehouse (Gigantum) |
Data Science Seminar |
|
September 28, 2018 |
If a tree falls in the woods and nobody hears, does it make a sound? (Or, making sure your code runs anywhere.)
Tyler Whitehouse (Gigantum) |
Industrial Problems Seminar |
|
September 24, 2018 |
Genetics of mRNA and Protein Expression in Large Yeast Populations
Frank Albert (University of Minnesota, Twin Cities) |
Data Science Seminar |
|
September 17, 2018 |
ExxonMobil information sessions for Ph.D. students
Jeremy Bedard (ExxonMobil), Alison Cozard (ExxonMobil) |
Industrial Problems Seminar |
|
September 17, 2018 |
The Role of the Translation Distribution in Multi-reference Alignment
William Leeb (University of Minnesota, Twin Cities) |
Data Science Seminar |
|
September 14, 2018 |
The Unfulfilled Fourth Industrial Revolution
Marcus Braun (DataRobot) |
Industrial Problems Seminar |
|
September 14, 2018 |
ExxonMobil information sessions for Ph.D. students
Jeremy Bedard (ExxonMobil), Alison Cozard (ExxonMobil) |
Industrial Problems Seminar |
|
September 13, 2018 |
ExxonMobil information sessions for Ph.D. students
Jeremy Bedard (ExxonMobil), Alison Cozard (ExxonMobil) |
Industrial Problems Seminar |
|
August 15, 2018 |
Statistics for a Computational Topologist Part II
Brittany Terese Fasy (Montana State University) |
Tutorial on Multiparameter Persistence, Computation, and Applications |
|
August 15, 2018 |
Two-Parameter Persistence for Virtual Ligand Screening
Bryn Keller (Intel Corporation) |
Tutorial on Multiparameter Persistence, Computation, and Applications |
|
August 15, 2018 |
Computation with Degree-Rips Bifiltrations
Roy Zhao (University of California, Berkeley) |
Tutorial on Multiparameter Persistence, Computation, and Applications |
|
August 15, 2018 |
Software Tutorial
Michael Lesnick (Princeton University), Matthew Wright (St. Olaf College) |
Tutorial on Multiparameter Persistence, Computation, and Applications |
|
August 15, 2018 |
Multiparameter Interleavings
Magnus Botnan (Vrije Universiteit Amsterdam) |
Tutorial on Multiparameter Persistence, Computation, and Applications |
|
August 14, 2018 |
Statistics for a Computational Topologist, Part I
Brittany Terese Fasy (Montana State University) |
Tutorial on Multiparameter Persistence, Computation, and Applications |
|
August 14, 2018 |
Computing Minimal Presentations of Bipersistence Modules in Cubic Time
Michael Lesnick (Princeton University) |
Tutorial on Multiparameter Persistence, Computation, and Applications |
|
August 14, 2018 |
Visualizing Two-parameter Persistence
Matthew Wright (St. Olaf College) |
Tutorial on Multiparameter Persistence, Computation, and Applications |
|
August 14, 2018 |
Quiver Representation Theory + Multiparameter Persistence
Magnus Botnan (Vrije Universiteit Amsterdam) |
Tutorial on Multiparameter Persistence, Computation, and Applications |
