Berkeley–Columbia Meeting in Engineering and Statistics
The Berkeley-Columbia Meeting provides a biennial, interdisciplinary forum for research in Engineering, Finance, Mathematics and Statistics. The first meeting was held at UC Berkeley in 2016. The second meeting is hosted by Columbia on April 6 and 7, 2018. Registration is not necessary. However, seating is limited—first come, first served.
Location
Note: On Saturday, only the campus level entrance is open. Please enter campus on 116th Street.
Schedule for Friday, April 6
09:00-09:30 Breakfast at lecture hall
09:30-09:40 Richard Davis: Opening
09:40-10:10 Nicolae Garleanu: Active versus Passive Investment
10:15-10:35 Florian Stebegg: Robust Pricing and Hedging of Averaging Options
10:40-11:10 Daniel Lacker: Local Dynamics for Large Sparse Networks of Interacting Processes
Coffee Break
11:30-12:00 Anil Aswani: Statistics with Set-valued Functions: Applications to Inverse Approximate Optimization
12:05-12:25 Renyuan Xu: Stochastic Game of Finite Fuel Problem
12:30-01:00 Sumit Mukherjee: Joint Estimation of Parameters in Ising Model
Lunch for speakers: at the Faculty House (map)
02:40-03:10 Will Fithian: AdaPT: An Interactive Procedure for Multiple Testing with Side Information
03:15-03:35 Matteo Basei: Nonzero-Sum Stochastic Differential Games with Impulse Controls
03:40-04:10 Dylan Possamai: Open Problems in Contract Theory
Coffee Break
04:30-05:00 Cindy Rush: Sparse Regression Codes: Communications via High-dimensional Linear Regression
05:05-05:25 Yuansi Chen: Stability and Convergence Trade-off of Iterative Optimization Algorithms
05:30-06:00 Philipp Strack: A Prior Free Approach to Experimentation
Schedule for Saturday, April 7
(Please enter Mudd Building through the campus level entrance on Saturday.)
09:00-09:30 Breakfast at lecture hall
09:30-10:00 Paul Glasserman: Information-Driven Price and Volatility Cycles
10:05-10:25 Tianyi Lin: Relaxed Wasserstein and Applications to GANs
10:30-11:00 Arian Maleki: A Fair Comparison of Estimators in High-dimensions
Coffee Break
11:20-11:50 Adityanand Guntuboyina: Hypothesis Testing in the Gaussian Sequence Model with Cone Constraints
11:55-12:15 Wenda Zhou: Approximate Leave-one-out for Fast Parameter Tuning in High Dimensions
12:20-12:50 Jing Dong: A New Approach to Sequential Stopping for Stochastic Simulation
Lunch catered light lunch at lecture hall
02:00-02:30 Paul Grigas: Smart "Predict, then Optimize''
02:35-02:55 Marko Weber: Can Swing Pricing Prevent Mutual Fund Runs and Fire Sales?
03:00-03:30 Ton Dieker: Simulation Algorithms and the Change-of-measure Technique
03:35-03:45 Xin Guo: Closing
Speakers
Anil Aswani, Berkeley IEOR
Matteo Basei, Berkeley IEOR
Yuansi Chen, Berkeley Stat
Richard Davis, Columbia Stat
Ton Dieker, Columbia IEOR
Jing Dong, Columbia GSB
Will Fithian, Berkeley Stat
Nicolae Garleanu, Berkeley Haas
Paul Glasserman, Columbia GSB
Paul Grigas, Berkeley IEOR
Adityanand Guntuboyina, Berkeley Stat
Daniel Lacker, Columbia IEOR
Tianyi Lin, Berkeley IEOR
Arian Maleki, Columbia Stat
Sumit Mukherjee, Columbia Stat
Dylan Possamai, Columbia IEOR
Cindy Rush, Columbia Stat
Florian Stebegg, Columbia Stat
Philipp Strack, Berkeley Econ
Marko Weber, Columbia IEOR
Renyuan Xu, Berkeley IEOR
Wenda Zhou, Columbia Stat
Organizers
Agostino Capponi, Columbia IEOR
Xin Guo, Berkeley IEOR
Marcel Nutz, Columbia Stat and Math
Yuchong Zhang, Columbia Stat