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Search All 2022 Events
 

11 Results

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Poster
Wed 9:00 Hypothesis Testing for Differentially Private Linear Regression
Daniel Alabi · Salil Vadhan
Poster
Wed 9:00 Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks
Yunwen Lei · Rong Jin · Yiming Ying
Poster
Thu 14:00 Mean Estimation with User-level Privacy under Data Heterogeneity
Rachel Cummings · Vitaly Feldman · Audra McMillan · Kunal Talwar
Poster
Tue 9:00 Stability and Generalization for Markov Chain Stochastic Gradient Methods
Puyu Wang · Yunwen Lei · Yiming Ying · Ding-Xuan Zhou
Poster
Thu 9:00 DP-PCA: Statistically Optimal and Differentially Private PCA
Xiyang Liu · Weihao Kong · Prateek Jain · Sewoong Oh
Poster
Thu 9:00 DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning
Siqi Xu · Lin Liu · Zhonghua Liu
Poster
Thu 9:00 A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension
Binh T. Nguyen · Bertrand Thirion · Sylvain Arlot
Poster
Wed 9:00 Randomized Sketches for Clustering: Fast and Optimal Kernel k-Means
Rong Yin · Yong Liu · Weiping Wang · Dan Meng
Workshop
Mixed-Membership Community Detection via Line Graph Curvature
Yu Tian · Zachary Lubberts · Melanie Weber
Poster
Wed 9:00 On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL
Jinglin Chen · Aditya Modi · Akshay Krishnamurthy · Nan Jiang · Alekh Agarwal
Workshop
Transformer Model for Genome Sequence Analysis
Noah Hurmer · Xiao-Yin To · Martin Binder · Hüseyin Anil Gündüz · Philipp Münch · René Mreches · Alice McHardy · Bernd Bischl · Mina Rezaei