Google’s mission presents many exciting algorithmic and optimization challenges across different product areas including Search, Ads, Social, and Google Infrastructure. These include optimizing internal systems such as scheduling the machines that power the numerous computations done each day, as well as optimizations that affect core products and users, from online allocation of ads to page-views to automatic management of ad campaigns, and from clustering large-scale graphs to finding best paths in transportation networks. Other than employing new algorithmic ideas to impact millions of users, Google researchers contribute to the state-of-the-art research in these areas by publishing in top conferences and journals.
Recent publications
Fast Finite Width Neural Tangent Kernel
ICML (2022) (to appear)
Thompson Sampling with a Mixture Prior
Proceedings of The 25th International Conference on Artificial Intelligence and Statistics (AI-Stats-22) (2022), pp. 7565-7586
Deletion Robust Submodular Maximization over Matroids
ICML'22 (2022) (to appear)
Approximate Cluster Recovery from Noisy Labels
COLT (2022) (to appear)
Online and Consistent Correlation Clustering
ICML 2022 (to appear)
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