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Poster
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Tue 9:00
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On the SDEs and Scaling Rules for Adaptive Gradient Algorithms
Sadhika Malladi · Kaifeng Lyu · Abhishek Panigrahi · Sanjeev Arora
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Workshop
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Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank
Alessandro Epasto · Vahab Mirrokni · Bryan Perozzi · Anton Tsitsulin · Peilin Zhong
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Poster
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Thu 14:00
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Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank
Alessandro Epasto · Vahab Mirrokni · Bryan Perozzi · Anton Tsitsulin · Peilin Zhong
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Poster
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Tue 9:00
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Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization
Liang Zhang · Kiran Thekumparampil · Sewoong Oh · Niao He
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Poster
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Wed 14:00
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Proppo: a Message Passing Framework for Customizable and Composable Learning Algorithms
Paavo Parmas · Takuma Seno
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Poster
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Tue 9:00
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Order-Invariant Cardinality Estimators Are Differentially Private
Charlie Dickens · Justin Thaler · Daniel Ting
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Poster
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Tue 14:00
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Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation
Michael Chang · Tom Griffiths · Sergey Levine
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Poster
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Improved Utility Analysis of Private CountSketch
Rasmus Pagh · Mikkel Thorup
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Poster
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Wed 9:00
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Hypothesis Testing for Differentially Private Linear Regression
Daniel Alabi · Salil Vadhan
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Workshop
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Differentially Private Federated Learning with Normalized Updates
Rudrajit Das · Abolfazl Hashemi · Sujay Sanghavi · Inderjit Dhillon
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Affinity Workshop
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Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy
Rachel Redberg · Yuqing Zhu · Yu-Xiang Wang
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Poster
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Thu 9:00
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Near-Optimal Private and Scalable k-Clustering
Vincent Cohen-Addad · Alessandro Epasto · Vahab Mirrokni · Shyam Narayanan · Peilin Zhong
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