Poster

Tue 9:00

On the SDEs and Scaling Rules for Adaptive Gradient Algorithms
Sadhika Malladi · Kaifeng Lyu · Abhishek Panigrahi · Sanjeev Arora

Workshop

Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank
Alessandro Epasto · Vahab Mirrokni · Bryan Perozzi · Anton Tsitsulin · Peilin Zhong

Poster

Thu 14:00

Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank
Alessandro Epasto · Vahab Mirrokni · Bryan Perozzi · Anton Tsitsulin · Peilin Zhong

Poster

Tue 9:00

Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization
Liang Zhang · Kiran Thekumparampil · Sewoong Oh · Niao He

Poster

Wed 14:00

Proppo: a Message Passing Framework for Customizable and Composable Learning Algorithms
Paavo Parmas · Takuma Seno

Poster

Tue 9:00

Order-Invariant Cardinality Estimators Are Differentially Private
Charlie Dickens · Justin Thaler · Daniel Ting

Poster

Tue 14:00

Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation
Michael Chang · Tom Griffiths · Sergey Levine

Affinity Workshop

Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy
Rachel Redberg · Yuqing Zhu · Yu-Xiang Wang

Poster

Improved Utility Analysis of Private CountSketch
Rasmus Pagh · Mikkel Thorup

Poster

Wed 9:00

Hypothesis Testing for Differentially Private Linear Regression
Daniel Alabi · Salil Vadhan

Workshop

Differentially Private Federated Learning with Normalized Updates
Rudrajit Das · Abolfazl Hashemi · Sujay Sanghavi · Inderjit Dhillon

Poster

Thu 9:00

Near-Optimal Private and Scalable $k$-Clustering
Vincent Cohen-Addad · Alessandro Epasto · Vahab Mirrokni · Shyam Narayanan · Peilin Zhong