• 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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Google's AdWords Market: How Theory Influenced Practice

Vijay Vazirani, UC Irvine
Video
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Break
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Mechanism Design Beyond Risk Neutrality

Manolis Pountorakis, University of Texas at Austin
Video
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When Does Diversity of Agent Preferences Improve Outcomes in Selfish Routing

Evdokia Nikolova, University of Texas at Austin
Video
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Lunch
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Predicting Intersection Signal Timing

Pravin Varaiya, UC Berkeley
Video
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Break
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Rebalancing in Bike-Sharing Systems – Incentives and Other Stories

David Shmoys, Cornell University
Video
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A Dashboard for Cities to Manage Fleets

Damon Wischik, University of Cambridge
Video
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Coffee and Check-In
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On Learning Graph Binomial Distributions and Powers of Poisson Binomial Distributions

Dimitris Fotakis, National Technical University of Athens & Yahoo
Video
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Break
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Streaming Algorithms for Matchings in Low Arboricity Graphs

Sofya Vorotnikova, University of Massachusetts Amherst
Video
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Sparse Fourier Transform Algorithm for Real-Time Applications

Haitham Hassanieh, University of Illinois Urbana-Champaign
Video
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Lunch
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Self-Programming Networks: Network Clock Synchronization, Event Playback and Real-time Action

Balaji Prabhakar, Stanford University
Video
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Break
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Exact Minimum Number of Bits to Stabilize a Linear System

Victoria Kostina, California Institute of Technology
Video
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An Informational Perspective on Uncertainty in Control

Gireeja Ranade, Microsoft Research
Video
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Coffee and Check-In
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Rerouting Flows when Links Fail

Jannik Matuschke, University of Munich
Video
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Break
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Broadcasting on Directed Acyclic Graphs

Yury Polyanskiy, Massachusetts Institute of Technology
Video
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Practical Data-Dependent Metric Compression with Provable Guarantees

Piotr Indyk, Massachusetts Institute of Technology
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Lunch
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Learning What Works Best When

Swati Gupta, Georgia Institute of Technology
Video
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Reception
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Coffee and Check-In
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Regularization, Perturbations, and Stability in Online Learning

Ambuj Tewari, University of Michigan
Video
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Break
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Limited Communication Gradient Methods for Distributed Resource Allocation Optimization

Na (Lina) Li, Harvard University
Video
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A Bayesian Approach to Online Resource Allocation

Sid Banerjee, Cornell University
Video
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Lunch
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Mergeable Summaries and the Data Sketches Library

Edo Liberty, Amazon
Video
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Break
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Provable Learning of Real-time Big Data Using Core-sets

Dan Feldman, University of Haifa
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Towards Verification of General Neural Networks: A Dual Approach

Krishnamurthy Dvijotham, Deepmind
Video
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Coffee and Check-In
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Relative Error Tensor Low Rank Approximation

David Woodruff, Carnegie Mellon University
Video
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Break
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Integrating Functions via Distance Sensitive Hashing

Moses Charikar, Stanford University
Video
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Active Regression via Linear-Sample Sparsification

Eric Price, University of Texas at Austin
Video