|
Poster
|
Tue 14:00
|
No-Regret Algorithms for Private Gaussian Process Bandit Optimization
Abhimanyu Dubey
|
|
|
Poster
|
Wed 6:00
|
Robust and Private Learning of Halfspaces
Badih Ghazi · Ravi Kumar · Pasin Manurangsi · Thao Nguyen
|
|
|
Poster
|
Tue 14:00
|
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning
Chong Liu · Yuqing Zhu · Kamalika Chaudhuri · Yu-Xiang Wang
|
|
|
Poster
|
Wed 6:00
|
DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation
Frederik Harder · Kamil Adamczewski · Mijung Park
|
|
|
Poster
|
Tue 14:00
|
Differentially Private Online Submodular Maximization
Sebastian Perez-Salazar · Rachel Cummings
|
|
|
Poster
|
Thu 7:30
|
Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models
Sasi Kumar Murakonda · Reza Shokri · George Theodorakopoulos
|
|
|
Poster
|
Tue 14:00
|
Density of States Estimation for Out of Distribution Detection
Warren Morningstar · Cusuh Ham · Andrew Gallagher · Balaji Lakshminarayanan · Alex Alemi · Joshua Dillon
|
|
|
Poster
|
Wed 12:45
|
Robust hypothesis testing and distribution estimation in Hellinger distance
Ananda Theertha Suresh
|
|
|
Poster
|
Tue 18:30
|
Taming heavy-tailed features by shrinkage
Ziwei Zhu · Wenjing Zhou
|
|
|
Poster
|
Wed 6:00
|
An Analysis of LIME for Text Data
Dina Mardaoui · Damien Garreau
|
|
|
Poster
|
Wed 12:45
|
Improving KernelSHAP: Practical Shapley Value Estimation Using Linear Regression
Ian Covert · Su-In Lee
|
|
|
Poster
|
Thu 7:30
|
Approximate Data Deletion from Machine Learning Models
Zachary Izzo · Mary Anne Smart · Kamalika Chaudhuri · James Zou
|
|
