The area of Quantitative Methods is dedicated to excellent research and outstanding teaching in the Krannert School’s undergraduate and graduate programs. The students in our programs have opportunities to participate in inter-collegiate case competitions, experiential learning initiatives, and student-led club activities. U.S. News & World Report has consistently ranked the Krannert undergraduate program in the quantitative methods/analysis specialty among the top programs along with MIT, Columbia, Carnegie Mellon, University of Pennsylvania, UC Berkeley, and other peer institutions having a strong STEM (Science, Technology, Engineering, and Mathematics) focus.
Krenicki Center for Business Analytics & Machine Learning
Quantitative Methods Research Seminars:
| Date | Speaker | Institution | Topic |
|---|---|---|---|
| November 16, 2021 | Prof. Frank E. Curtis | Department of Industrial and Systems Engineering, Lehigh University | Algorithms for Deterministically Constrained Stochastic Optimization |
| November 9, 2021 | Prof. Mert Gürbüzbalaban | Rutgers Business School, Rutgers University | Heavy tails arising in stochastic gradient descent methods in deep learning |
| October 29, 2021 | Prof. Nathan Kallus | School of Operations Research and Information Engineering, Cornell University | Smooth Contextual Bandits |
| October 19, 2021 | Prof. Gabor Lugosi | Department of Economics, Pompeau Fabra University | Learning the structure of graphical models by covariance queries |
| October 7, 2021 | Prof. Francesco Orabona | Dept. of Electrical and Computer Engineering, Boston University | Parameter-free Stochastic Optimization of Variationally Coherent Functions |
| September 21, 2021 | Prof. Po-Ling Loh | Statistical Laboratory, Centre for Mathematical Sciences, University of Cambridge | A modern take on Huber regression |
| August 24th, 2021 | Prof. Stanislav Minsker | Dep. of Mathematics, University of Southern California | Robust and Efficient Mean Estimation |
| 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 |
