Krenicki Center for Business Analytics & Machine Learning
Quantitative Methods Research Seminars:
| Date | Speaker | Institution | Topic |
|---|---|---|---|
| TBA | Prof. Gabor Lugosi | Department of Economics, Pompeau Fabra University | TBA |
| September 20, 2021 | Prof. Po-Ling Loh | Statistical Laboratory, Centre for Mathematical Sciences, University of Cambridge | TBA |
| August 24th, 2021 | Prof. Stanislav Minsker | Dep. of Mathematics, University of Southern California | TBA |
| November 30, 2018 | Prof. Simge Küçükyavuz | Department of Industrial Engineering and Management Sciences, Northwestern University | Risk-Averse Set Covering Problems |
| November 16, 2018 | Prof. Emerson Melo | Department of Economics, Indiana University Bloomington | A Variational Approach to Network Games |
| October 19, 2018 | Prof. Siddhartha Banerjee | School of Operations Research and Information Engineering, Cornell University | Online Decision-Making Using Prediction Oracles |
| March 23, 2018 | Prof. Santanu Dey | School of Industrial and Systems Engineering, Georgia Institute of Technology |
Theoretical Analysis of the Role of Sparsity in Cutting-Plane Selection
|
| March 2, 2018 | Prof. Ariel Procaccia | Department of Computer Science, Carnegie Mellon University | Extreme Democracy |
| September 15, 2017 | Prof. Yihong Wu | Department of Statistics and Data Science, Yale University | Polynomial Approximation, Moment Matching and Optimal Estimation of the Unseen |
| September 1, 2017 | Prof. Jyrki Wallenius | Aalto University School of Business | Accounting for Political Opinions, Power, and Influence: A Voting Advice Application |
| April 28, 2017 | Prof. Adam Wierman | Department of Computing and Mathematical Sciences, California Institute of Technology | Platforms & Networked Markets: Transparency & Market Power |
| November 4, 2016 | Prof. Venkatesan Guruswami | Department of Computer Science, Carnegie Mellon University | (2+eps)-SAT is NP-Hard, and Further Results on Promise Constraint Satisfaction |
| September 30, 2016 | Prof. Regina Liu | Department of Statistics and Biostatistics, Rutgers University | Fusion Learning: Fusing Inferences from Multiple Sources for More Powerful Findings |
