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Found 5 papers, 2 papers with code
Scalable Differentially Private Clustering via Hierarchically Separated Trees
We study the private $k$-median and $k$-means clustering problem in $d$ dimensional Euclidean space.
Temporal Shift GAN for Large Scale Video Generation
In this paper, we present a network architecture for video generation that models spatio-temporal consistency without resorting to costly 3D architectures.
Differentially Private Covariance Estimation
The covariance matrix of a dataset is a fundamental statistic that can be used for calculating optimum regression weights as well as in many other learning and data analysis settings.
Revenue Optimization against Strategic Buyers
We present a revenue optimization algorithm for posted-price auctions when facing a buyer with random valuations who seeks to optimize his $\gamma$-discounted surplus.
Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers
We study revenue optimization learning algorithms for posted-price auctions with strategic buyers.
