22 citations · 31 across the 5 of their papers we have counts for
6 papers
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models
Rohan Anil, Sandra Gadanho, Da Huang +9
For industrial-scale advertising systems, prediction of ad click-through rate (CTR) is a central problem. Ad clicks constitute a significant class of user engagements and are often…
How Important Is a Neuron?
Kedar Dhamdhere, Mukund Sundararajan, Qiqi Yan
The problem of attributing a deep network's prediction to its \emph{input/base} features is well-studied. We introduce the notion of \emph{conductance} to extend the notion of attr…
A Simple and Efficient MapReduce Algorithm for Data Cube Materialization
Mukund Sundararajan, Qiqi Yan
Data cube materialization is a classical database operator introduced in Gray et al.~(Data Mining and Knowledge Discovery, Vol.~1), which is critical for many analysis tasks. Nandi…
Hierarchical Summarization of Metric Changes
Matthias Ruhl, Mukund Sundararajan, Qiqi Yan
We study changes in metrics that are defined on a cartesian product of trees. Such metrics occur naturally in many practical applications, where a global metric (such as revenue) c…
Envy Freedom and Prior-free Mechanism Design
Nikhil R. Devanur, Jason D. Hartline, Qiqi Yan
We consider the provision of an abstract service to single-dimensional agents. Our model includes position auctions, single-minded combinatorial auctions, and constrained matching…
From Convex Optimization to Randomized Mechanisms: Toward Optimal Combinatorial Auctions
Shaddin Dughmi, Tim Roughgarden, Qiqi Yan
We design an expected polynomial-time, truthful-in-expectation, (1-1/e)-approximation mechanism for welfare maximization in a fundamental class of combinatorial auctions. Our resul…