• Click on the titles of individual talks for abstract, slides and archived video.

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Coffee and Check-In
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Opening Remarks
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A Stochastic Resource-Sharing Network for Electric Vehicle Charging
Bert Zwart, CWI Amsterdam
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Break
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Streaming Analytics for Power Systems: A Tale of Two Time Scales
Le Xie, Texas A&M University
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Learning and Targeting the Right Customers for Residential Demand Response: A Case Study and A Multi-Armed Bandit Approach
Na Li, Harvard University
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Real-Time Monitoring, Verification, and Control of Cyber-Physical Systems
Sanjit Seshia, UC Berkeley
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Lunch
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An Axiomatic Theory of Non Bayesian Social Learning
Ali Jadbabaie, Massachusetts Institute of Technology
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Learning Latent Events from Network Message Logs
R. Srikant, University of Ilinois at Urbana-Champaign
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Learning to Control Unknown Systems
Rahul Jain, University of Southern California
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Break
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Tensor Recovery for a New Liquid Biopsy
Vivek Farias, Massachusetts Institute of Technology
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Lightning Talks
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Reception
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Coffee and Check-In
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Urban Data & Decisions
Steven Koonin, New York University
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Break
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Intelligent Intersections
Pravin Varaiya, UC Berkeley
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Decentralized Signal Control for Urban Road Networks
Neil Walton, University of Manchester
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Making Sense of Hierarchical Log Data
Damon Wischik, University of Cambridge
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Lunch
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Real‐Time Control of Electrical Distribution Grids
Jean-Yves Le Boudec, EFPL
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Learning and Optimization of Static and Dynamic Appointments
Jean Walrand, UC Berkeley
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Guaranteeing Timeliness Via Prices: Optimal Scheduling of Real-Time Wireless Networks with Hard End-to-End Deadlines
P. R. Kumar, Texas A&M University
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Break
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Data Assimilation for Discrete-Event Simulations
Peter Glynn, Stanford University
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Lightning Talks
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Coffee and Check-In
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Learning in Games with Dynamic Population
Eva Tardos, Cornell University
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Break
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A Marketplace for Data: An Algorithmic Solution
Munther Dahleh, Massachusetts Institute of Technology
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Optimal Policies for Online Markets with Social Signals
Pascal Van Hentenryck, University of Michigan
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Sparse Metric Repair: If It Ain't Broke, Don't Fix It
Anna Gilbert, University of Michigan
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Lunch
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Network Pricing: How to Induce Optimal Flows Under Strategic Link Operators
Jose Correa, Universidad de Chile
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Risk-averse Selfish Routing
Evdokia Nikolova, University of Texas at Austin
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A Variational Inequality Framework for Network Games: Existence, Uniqueness, Convergence and Sensitivity Analysis
Asu Özdağlar, Massachusetts Institute of Technology
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Break
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Bandit Learning with Positive Externalities
Ramesh Johari, Stanford University
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Online Learning and Optimization in Distributed Energy Systems: Some Problems and Opportunities
Ram Rajagopal, Stanford University
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Coffee and Check-In
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Signaling with Surge Pricing: Evidence from a Natural Experiment at Uber
Peter Frazier, Cornell University & Uber
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Break
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Pricing in Ridesharing Networks
Garrett van Ryzin, Cornell Tech & Lyft
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Incentives and Games in Large Scale Mobility
Alexandre Bayen, UC Berkeley
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The Rideshare Dispatch Problem (Aka Online Bipartite Matching with Supply Externalities)
Sid Banerjee, Cornell University
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Lunch
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Time Series Analysis via Matrix Estimation
Devavrat Shah, Massachusetts Institute of Technology
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Dynamic Matching Models
Ana Bušić, INRIA and École Normale Supérieure Paris
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Clearing Matching Markets Efficiently: Informative Signals and Match Recommendations
Itai Ashlagi, Stanford University
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Break
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Irrational Agents and the Power Grid
Sean Meyn, University of Florida
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Mobilizing Grid Flexibility for Renewables Integration through Enhanced Computation
Shmuel Oren, UC Berkeley