Campuses:

Talks

Date Title / Speaker Eventsort ascending
December 06, 2018 Lecture
Xiaobo Li (National University of Singapore)
From Theory to Practice: Data-driven Supply Chain Management
December 06, 2018 Lecture
Mengdi Wang (Princeton University)
From Theory to Practice: Data-driven Supply Chain Management
December 06, 2018 Lecture
Shipra Agrawal (Columbia University)
From Theory to Practice: Data-driven Supply Chain Management
December 03, 2018 Lecture
Kaveh Khodjasteh (Target Corporation)
From Theory to Practice: Data-driven Supply Chain Management
December 06, 2018 Lecture
Zizhuo Wang (University of Minnesota, Twin Cities)
From Theory to Practice: Data-driven Supply Chain Management
December 03, 2018 Lecture
Chaithanya Bandi (Northwestern University)
From Theory to Practice: Data-driven Supply Chain Management
December 03, 2018 Lecture
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 04, 2018 Lecture
Tianxiao Chen (Huawei Technologies)
From Theory to Practice: Data-driven Supply Chain Management
December 04, 2018 Lecture
Vishal Gaur (Cornell University)
From Theory to Practice: Data-driven Supply Chain Management
December 04, 2018 Lecture
Rong Yuan (JD.COM)
From Theory to Practice: Data-driven Supply Chain Management
December 04, 2018 Lecture
Himabindu Lakkaraju (Stanford University)
From Theory to Practice: Data-driven Supply Chain Management
December 05, 2018 Lecture
Mohsen Bayati (Stanford University)
From Theory to Practice: Data-driven Supply Chain Management
December 05, 2018 Lecture
Hamsa Bastani (Wharton School of the University of Pennsylvania)
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
Tao Yao (Alibaba)
From Theory to Practice: Data-driven Supply Chain Management
December 05, 2018 Lecture
Yiwei Chen (University of Cincinnati)
From Theory to Practice: Data-driven Supply Chain Management
December 06, 2018 Lecture
Dan Russo (Columbia University)
From Theory to Practice: Data-driven Supply Chain Management
December 07, 2018 When Seeing is not Believing: New Forensics Algorithms to Detect Image Manipulations
Michael Albright (Honeywell)
Industrial Problems Seminar
September 14, 2018 The Unfulfilled Fourth Industrial Revolution
Marcus Braun (DataRobot)
Industrial Problems Seminar
January 25, 2019 Lecture
Eric Lind (Metro Transit)
Industrial Problems 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
February 22, 2019 Lecture
Samantha Schumacher (Target Corporation)
Industrial Problems Seminar
October 12, 2018 Artificial Intelligence in a Material World
Jennifer Schumacher (3M)
Industrial Problems Seminar
November 02, 2018 Using Electronic Health Record Data for Clinical Analyses: Early Learnings
Joao Montero (Medtronic)
Industrial Problems Seminar
September 13, 2018 ExxonMobil information sessions for Ph.D. students
Jeremy Bedard (ExxonMobil), Alison Cozard (ExxonMobil)
Industrial Problems Seminar
September 14, 2018 ExxonMobil information sessions for Ph.D. students
Jeremy Bedard (ExxonMobil), Alison Cozard (ExxonMobil)
Industrial Problems Seminar
November 16, 2018 Advanced Dynamics Systems Analysis and Synthesis for Future Storage Challenges
Raye Sosseh (Seagate Technology)
Industrial Problems Seminar
February 08, 2019 Lecture
Karyn Sutton (The Institute for Disease Modeling)
Industrial Problems Seminar
September 17, 2018 ExxonMobil information sessions for Ph.D. students
Jeremy Bedard (ExxonMobil), Alison Cozard (ExxonMobil)
Industrial Problems Seminar
March 08, 2019 Lecture
Kyle Srivastava (Boston Scientific)
Industrial Problems Seminar
March 29, 2019 Lecture
Chang Lee (Lowe's)
Industrial Problems Seminar
April 12, 2019 Lecture
Sandhya Surapanenii (Stratasys)
Industrial Problems Seminar
November 08, 2018 Clustering Mixed-Type Data
Marianthi Markatou (University at Buffalo (SUNY))
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 Quantile Regression in Genetic studies
Ying Wei (Columbia University)
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 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 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 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 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 08, 2018 Statistical Inference of Covariate-Adjusted Randomized Experiment
Feifang Hu (George Washington University)
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 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 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 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 07, 2018 Digital Health and Big Data for Drug Development
Ray Liu (Takeda Pharmaceuticals Inc.)
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 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 08, 2018 Statistical Analysis of SMART Studies via Arti fcial Randomization
Abdus Wahed (University of Pittsburgh)
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 Poster session and reception

Zhengling Qi (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 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 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 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 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 08, 2018 Keynote
Eric Laber (North Carolina State University)
Statistical and Computational Challenges in Precision Medicine
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 16, 2018 Some Remarks
Robert Langlands (Institute for Advanced Study)
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 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 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 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 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 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 Shimura Varieties
Sophie Morel (Princeton University)
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 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 Constructing and characterizing a local Langlands correspondence
Michael Harris (Columbia University)
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands
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 Predicting with Proxies
Hamsa Bastani (Wharton School of the University of Pennsylvania)
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 Online Assortment Optimization with Reusable Resources
Vineet Goyal (Columbia University)
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 Crowdsourcing Operations: Incentivizing Bike Angels in America
David Shmoys (Cornell 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 Smart Predict, then Optimize
Adam Elmachtoub (Columbia University)
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 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 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 Dynamic Assortment Planning under Various Discrete Choice Models
Xi Chen (New York 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 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 05, 2018 Design of Information Sharing Mechanisms in Service Systems
Krishnamurthy Iyer (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 05, 2018 Sample-Based Optimal Pricing
Omar Besbes (Columbia 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 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 15, 2018 Free Component Analysis
Raj Nadakuditi (University of Michigan)
Data Science Seminar
October 01, 2018 Scalable Collaboration for Data Science Done in Open Source Tools and Frameworks
Tyler Whitehouse (Gigantum)
Data Science Seminar
September 24, 2018 Genetics of mRNA and Protein Expression in Large Yeast Populations
Frank Albert (University of Minnesota, Twin Cities)
Data Science Seminar
November 12, 2018 Learning from Highly Correlated Features using Graph Total Variation
Rebecca Willett (University of Chicago)
Data Science Seminar
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
August 10, 2018 Mathematics of Big Data & Machine Learning
Jeremy Kepner (Massachusetts Institute of Technology)
Data Science Seminar
October 29, 2018 A Picture of the Energy Landscape of Deep Neural Networks
Pratik Chaudhari (California Institute of Technology)
Data Science Seminar
December 10, 2018 Lecture
Lori Ziegelmeier (Macalester College)
Data Science Seminar
October 08, 2018 A PDE Approach to a Prediction Problem Involving Randomized Strategies
Nadejda Drenska (University of Minnesota, Twin Cities)
Data Science Seminar
November 05, 2018 Solving Infinite Dimensional Optimization Problems with Convergence Guarantees
Matthew Jacobs (University of California, Los Angeles)
Data Science Seminar
January 28, 2019 Lecture
Guanglin Xu (University of Minnesota, Twin Cities)
Data Science Seminar

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