Okke Schrijvers
Research Overview
Publications
Interns
PhD Applications
Okke Schrijvers
Research Scientist with a focus on Algorithmic Game Theory, Algorithms, and Machine Learning
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Menlo Park, CA
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Publications Summary
Visual Explanation of the Complexity in Julia Sets
Delaunay triangulations on the word RAM: Towards a practical worst-case optimal algorithm
Vertex Deletion for 3D Delaunay Triangulations
Network Cost-Sharing without Anonymity
Computational Cartography: Placing Points of Interest and Ads on Maps
Inverse Game Theory: Learning Utilities in Succinct Games
Incentive Compatibility of Bitcoin Mining Pool Reward Functions
Robust Random Cut Forest Based Anomaly Detection on Streams
Ironing in the Dark
Online Prediction with Selfish Experts
Online Learning for Measuring Incentive Compatibility in Ad Auctions
Pacing Equilibrium in First-Price Auction Markets
Envy, Regret, and Social Welfare Loss
The Ad Types Problem
Stochastic Bandits for Multi-platform Budget Optimization in Online Advertising
Equilibria in Auctions with Ad Types
Optimal Spend Rate Estimation and Pacing for Ad Campaigns with Budgets
