May 03, 2019 |
Lecture Ben Peirce (Samsung Research America) |
Industrial Problems Seminar |
April 29, 2019 |
Lecture
Thomas Hou (California Institute of Technology)
|
Data Science Seminar |
April 22, 2019 |
Lecture Tom Goldstein (University of Maryland) |
Data Science Seminar |
April 15, 2019 |
Lecture Rui Gao (The University of Texas at Austin) |
Data Science Seminar |
April 12, 2019 |
Lecture Sandhya Surapanenii (Stratasys) |
Industrial Problems Seminar |
April 08, 2019 |
Lecture
Vlad Pribiag (University of Minnesota, Twin Cities)
|
Data Science Seminar |
April 01, 2019 |
Lecture Edgar Dobriban (Wharton School of the University of Pennsylvania) |
Data Science Seminar |
March 29, 2019 |
Lecture Chang Lee (Lowe's) |
Industrial Problems Seminar |
March 25, 2019 |
Lecture Mark Hsiao (Netflix, Inc) |
Data Science Seminar |
March 15, 2019 |
Lecture Karyn Sutton (The Institute for Disease Modeling) |
Industrial Problems Seminar |
March 11, 2019 |
Robust and Phaseless PCA (and Subspace Tracking) Namrata Vaswani (Iowa State University) |
Data Science Seminar |
March 04, 2019 |
Peculiar Properties of Locally Linear Embedding -- Toward Theoretical Understanding of Unsupervised Learning Hau-tieng Wu (Duke University) |
Data Science Seminar |
March 01, 2019 |
Lecture Sohan Das (EVS, Inc.) |
Industrial Problems Seminar |
February 25, 2019 |
Strong Coresets for k-Median and Subspace Approximation: Goodbye Dimension David Woodruff (Carnegie Mellon University) |
Data Science Seminar |
February 22, 2019 |
Industrial Problems in Digital Retail Samantha Schumacher (Target Corporation) |
Industrial Problems Seminar |
February 18, 2019 |
Graph Convolutional Neural Network via Scattering Dongmian Zou (University of Minnesota, Twin Cities) |
Data Science Seminar |
February 11, 2019 |
Style Transfer by Relaxed Optimal Transport and Self-Similarity Greg Shakhnarovich (Toyota Technological Institute at Chicago) |
Data Science Seminar |
February 08, 2019 |
Using Wearable Sensors to Predict Pain States Kyle Srivastava (Boston Scientific) |
Industrial Problems Seminar |
February 04, 2019 |
Gromov-Monge Quasi Metrics and Distance Distributions Tom Needham (The Ohio State University) |
Data Science Seminar |
January 28, 2019 |
Data-Driven Distributionally Robust Appointment Scheduling Guanglin Xu (University of Minnesota, Twin Cities) |
Data Science Seminar |
January 25, 2019 |
Probabilistic Analysis of Operational Transit Data to Create Insights for Planners Eric Lind (Metro Transit) |
Industrial Problems Seminar |
December 10, 2018 |
Stratifying High-Dimensional Data Based on Proximity to the Convex Hull Boundary Lori Ziegelmeier (Macalester College) |
Data Science Seminar |
December 07, 2018 |
When Seeing is not Believing: New Forensics Algorithms to Detect Image Manipulations Michael Albright (Honeywell) |
Industrial Problems Seminar |
December 06, 2018 |
Thompson Sampling for learning in online decision making Shipra Agrawal (Columbia University) |
From Theory to Practice: Data-driven Supply Chain Management |
December 06, 2018 |
Statistical State Compression and Primal-Dual Pi Learning Mengdi Wang (Princeton University) |
From Theory to Practice: Data-driven Supply Chain Management |
December 06, 2018 |
Inventory Repositioning in On-Demand Product Rental Networks Xiaobo Li (National University of Singapore) |
From Theory to Practice: Data-driven Supply Chain Management |
December 06, 2018 |
Simple Bayesian Algorithms for Pure-exploration Dan Russo (Columbia University) |
From Theory to Practice: Data-driven Supply Chain Management |
December 05, 2018 |
Revenue Management and Pricing with Strategic (Forward-looking) Customers Yiwei Chen (University of Cincinnati) |
From Theory to Practice: Data-driven Supply Chain Management |
December 05, 2018 |
Online Learning and Decision-Making under Generalized Linear Model with High-Dimensional Data Mike Wei (University at Buffalo (SUNY)) |
From Theory to Practice: Data-driven Supply Chain Management |
December 05, 2018 |
Interpreting Predictive Models for Human-in-the-Loop Analytics Hamsa Bastani (Wharton School of the University of Pennsylvania) |
From Theory to Practice: Data-driven Supply Chain Management |
December 05, 2018 |
Managing a newsvendor network under uncertainty: case study of a pharmacy retailer in India Chaithanya Bandi (Northwestern University) |
From Theory to Practice: Data-driven Supply Chain Management |
December 04, 2018 |
The Secret Behind Fast Delivery - From Inventory Management Perspective Rong Yuan (JD.COM) |
From Theory to Practice: Data-driven Supply Chain Management |
December 04, 2018 |
Reducing Exploration in Personalized Decision-Making Mohsen Bayati (Stanford University) |
From Theory to Practice: Data-driven Supply Chain Management |
December 04, 2018 |
Data-driven Supply Chain Management at Huawei Tianxiao Chen (Huawei Technologies) |
From Theory to Practice: Data-driven Supply Chain Management |
December 03, 2018 |
Absenteeism Prediction and Extra-board Driver Scheduling for Bus Transit Operations Qie He (University of Minnesota, Twin Cities) |
From Theory to Practice: Data-driven Supply Chain Management |
December 03, 2018 |
The Supply Chain Management Challenges of the Future in Agriculture Jorge Guanter (Cargill, Inc.) |
From Theory to Practice: Data-driven Supply Chain Management |
December 03, 2018 |
Inventory Balancing with Online Learning Xinshang Wang (Massachusetts Institute of Technology) |
From Theory to Practice: Data-driven Supply Chain Management |
December 03, 2018 |
Retail Supply Chain at Target Scale Kaveh Khodjasteh (Target Corporation) |
From Theory to Practice: Data-driven Supply Chain Management |
November 29, 2018 |
Interpolative Decomposition and its Applications (Math Dept Colloquium Lecture) Lexing Ying (Stanford University) |
Data Science Seminar |
November 28, 2018 |
Convex Relaxation Approaches for Strictly Correlated Density Functional Theory Lexing Ying (Stanford University) |
Data Science Seminar |
November 26, 2018 |
Solving PDEs with Deep Learning Lexing Ying (Stanford University) |
Data Science Seminar |
November 19, 2018 |
Lipschitz Regularized Deep Neural Networks Converge and are Robust to Adversarial Perturbations Adam Oberman (McGill University) |
Data Science Seminar |
November 16, 2018 |
Some Remarks Robert Langlands (Institute for Advanced Study) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |
November 16, 2018 |
Constructing and characterizing a local Langlands correspondence Michael Harris (Columbia University) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |
November 16, 2018 |
Advanced Dynamics Systems Analysis and Synthesis for Future Storage Challenges Raye Sosseh (Seagate Technology) |
Industrial Problems Seminar |
November 16, 2018 |
Harish-Chandra characters and the local Langlands correspondence Tasho Kaletha (University of Michigan) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |
November 16, 2018 |
Endoscopy and geometry Ngo Bao Chau (University of Chicago) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |
November 15, 2018 |
Shimura Varieties Sophie Morel (Princeton University) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |
November 15, 2018 |
The geometric Langlands correspondence and electromagnetic duality Edward Frenkel (University of California, Berkeley) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |
November 15, 2018 |
The p-adic Langlands program Matthew Emerton (University of Chicago) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |
November 15, 2018 |
Residue distributions and harmonic analysis on reductive groups Eric Opdam (Universiteit van Amsterdam) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |
November 14, 2018 |
The Stable Trace Formula James Arthur (University of Toronto) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |
November 14, 2018 |
Functoriality and Beyond Endoscopy Salim Altug (Boston University) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |
November 14, 2018 |
On an analytic theory of automorphic forms for complex algebraic curves Edward Frenkel (University of California, Berkeley) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |
November 14, 2018 |
Eisenstein Series and L-functions Freydoon Shahidi (Purdue University) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |
November 12, 2018 |
Learning from Highly Correlated Features using Graph Total Variation Rebecca Willett (University of Chicago) |
Data Science Seminar |
November 09, 2018 |
A novel method to identify and prioritize drugs for an individual (N=1) based on clinical and multi-omics data Krishna Kalari (Mayo Clinic) |
Statistical and Computational Challenges in Precision Medicine |
November 09, 2018 |
Efficient Discovery of Heterogeneous Treatment Effects via Anomalous Pattern Detection Edward McFowland (University of Minnesota, Twin Cities) |
Statistical and Computational Challenges in Precision Medicine |
November 09, 2018 |
C-learning: A New Classification Framework to Estimate Optimal Dynamic Treatment Regimes Min Zhang (University of Michigan) |
Statistical and Computational Challenges in Precision Medicine |
November 09, 2018 |
Outcome-Weighted Learning for Personalized Medicine with Multiple Treatment Options Donglin Zeng (University of North Carolina, Chapel Hill) |
Statistical and Computational Challenges in Precision Medicine |
November 09, 2018 |
Personalized risk prediction using longitudinal data: Applications in obstetrics and cancer Paul Albert (National Cancer Institute) |
Statistical and Computational Challenges in Precision Medicine |
November 08, 2018 |
Statistical Analysis of SMART Studies via Artifcial Randomization Abdus Wahed (University of Pittsburgh) |
Statistical and Computational Challenges in Precision Medicine |
November 08, 2018 |
Quantile-optimal Treatment Regimes with Censored Data Lan Wang (University of Minnesota, Twin Cities) |
Statistical and Computational Challenges in Precision Medicine |
November 08, 2018 |
HASS: Hybrid Algorithm for Subgroup Search via ADMM and EM Algorithms Peter Song (University of Michigan) |
Statistical and Computational Challenges in Precision Medicine |
November 08, 2018 |
Estimating and testing targeted mediation effect in the presence of high-dimensional mediators Lei Liu (Washington University School of Medicine) |
Statistical and Computational Challenges in Precision Medicine |
November 08, 2018 |
Statistical Inference of Covariate-Adjusted Randomized Experiment Feifang Hu (George Washington University) |
Statistical and Computational Challenges in Precision Medicine |
November 08, 2018 |
Adaptive testing on a high-dimensional parameter with application to precision medicine Wei Pan (University of Minnesota, Twin Cities) |
Statistical and Computational Challenges in Precision Medicine |
November 08, 2018 |
Learning Multi-relations in Biomedical Networks and Tensors Rui Kuang (University of Minnesota, Twin Cities) |
Statistical and Computational Challenges in Precision Medicine |
November 08, 2018 |
Quantile Regression in Genetic studies Ying Wei (Columbia University) |
Statistical and Computational Challenges in Precision Medicine |
November 08, 2018 |
Group and Individual Non-Gaussian Components Analysis David S. Matteson (Cornell University) |
Statistical and Computational Challenges in Precision Medicine |
November 08, 2018 |
Clustering Mixed-Type Data Marianthi Markatou (University at Buffalo (SUNY)) |
Statistical and Computational Challenges in Precision Medicine |
November 08, 2018 |
Keynote Eric Laber (North Carolina State University) |
Statistical and Computational Challenges in Precision Medicine |
November 07, 2018 |
Poster session and reception
Zhengling Qi (University of North Carolina, Chapel Hill)
|
Statistical and Computational Challenges in Precision Medicine |
November 07, 2018 |
Matched Learning for Optimizing Individualized Treatment Strategies Using Electronic Health Records Yuanjia Wang (Columbia University) |
Statistical and Computational Challenges in Precision Medicine |
November 07, 2018 |
Selection of the Optimal Personalized Treatment from Multiple Treatments with Multivariate Outcome Measures Somnath Datta (University of Florida) |
Statistical and Computational Challenges in Precision Medicine |
November 07, 2018 |
Digital Health and Big Data for Drug Development Ray Liu (Takeda Pharmaceuticals Inc.) |
Statistical and Computational Challenges in Precision Medicine |
November 07, 2018 |
Analysis of implantable cardiac device diagnostics to tailor management of heart failure Tracy Bergemann (Medtronic) |
Statistical and Computational Challenges in Precision Medicine |
November 07, 2018 |
Estimating Causal (Personalized) Effects within Regulatory Tobacco Randomized Controlled Trials David Vock (University of Minnesota, Twin Cities) |
Statistical and Computational Challenges in Precision Medicine |
November 07, 2018 |
Thinking Causally About High-Dimensional Databases Debashis Ghosh (University of Colorado Denver) |
Statistical and Computational Challenges in Precision Medicine |
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 |