Models and Algorithms for Sequential Decision Problems under Uncertainty
Videos from BIRS Workshop
David Shmoys, Cornell University
Monday Jan 14, 2019 09:05 - 09:44
Crowdsourcing Operations: Incentivizing Bike Angels in America
Peyman Mohajerin Esfahani, Delft University of Technology
Monday Jan 14, 2019 11:04 - 11:46
Data-driven Inverse Optimization with Imperfect Information
Peyman Mohajerin Esfahani, Delft University of Technology
Monday Jan 14, 2019 11:04 - 11:46
Data-driven Inverse Optimization with Imperfect Information
Fatma Kılınç-Karzan, Carnegie Mellon University
Monday Jan 14, 2019 11:47 - 12:32
Online First-Order Framework for Robust Convex Optimization
Yehua Wei, Boston College
Monday Jan 14, 2019 14:11 - 14:48
Analyzing Policies in Dynamic Robust Optimization
Wolfram Wiesemann, Imperial College London
Monday Jan 14, 2019 16:12 - 16:53
Data-Driven Chance Constrained Programs over Wasserstein Balls
Daniel Kuhn, Ecole Polytechnique Federale de Laussane
Tuesday Jan 15, 2019 09:04 - 09:48
Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator
Karthik Natarajan, Singapore University of Technology and Design
Tuesday Jan 15, 2019 09:50 - 10:30
Exploiting Partial Correlations in Distributionally Robust Optimization
Omar El Housni, Columbia University
Tuesday Jan 15, 2019 11:01 - 11:39
On the Optimality of Affine Policies for Budgeted Uncertainty Sets
Marco Campi, University of Brescia
Tuesday Jan 15, 2019 11:42 - 12:25
Preliminary results on two-stage scenario problems
Mohit Singh, Georgia Institute of Technology
Tuesday Jan 15, 2019 14:04 - 14:44
Resource Allocation Problems in Cloud Computing
Vahideh Manshadi, Yale University
Tuesday Jan 15, 2019 14:48 - 15:29
Online Resource Allocation under Partially Predictable Demand
Guzin Bayraksan, Ohio State University
Tuesday Jan 15, 2019 16:10 - 16:54
Effective Scenarios in Multistage Distributionally Robust Optimization
Huan Xu, Georgia Institute of Technology
Tuesday Jan 15, 2019 16:55 - 17:34
Secondary Market to Mitigate Demand Uncertainty
Brad Sturt, MIT
Wednesday Jan 16, 2019 09:47 - 10:27
A Data-Driven Approach for Multi-Stage Linear Optimization
Shimrit Shtern, Technion
Wednesday Jan 16, 2019 10:29 - 11:08
Data-Driven Two-Stage Linear Optimization: Feasibility and Approximation Guarantees
Vishal Gupta, University of Southern California
Thursday Jan 17, 2019 11:56 - 12:43
Data-Pooling in Stochastic Optimization
Erick Delage, HEC Montréal
Thursday Jan 17, 2019 14:05 - 14:46
Worst-case regret minimization in a two-stage linear program
Phebe Vayanos, University of Southern California
Thursday Jan 17, 2019 14:47 - 15:37
Two-Stage Robust Optimization with Decision-Dependent Information Discovery
Rajan Udwani, Columbia University
Thursday Jan 17, 2019 16:11 - 16:53
Multi-objective Maximization of Monotone Submodular Functions with Cardinality Constraint
Daniel Zhuoyu Long, Chinese University of Hong Kong
Thursday Jan 17, 2019 16:55 - 17:32
Preservation of Supermodularity in Parametric Optimization: Necessary and Sufficient Conditions on Constraint Structures
Julien Grand Clement, Columbia University
Friday Jan 18, 2019 09:08 - 09:49
Robust Markov Decision Processes: Beyond Rectangularity
