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Poster
Wed 17:00 Data-driven Estimation of Sinusoid Frequencies
Gautier Izacard · Sreyas Mohan · Carlos Fernandez-Granda
Poster
Thu 17:00 Oblivious Sampling Algorithms for Private Data Analysis
Olga Ohrimenko · Sajin Sasy
Poster
Wed 10:45 A Necessary and Sufficient Stability Notion for Adaptive Generalization
Moshe Shenfeld · Katrina Ligett
Poster
Thu 17:00 Private Learning Implies Online Learning: An Efficient Reduction
Alon Gonen · Elad Hazan · Shay Moran
Poster
Thu 17:00 An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors
Janardhan Kulkarni · Olga Ohrimenko · Bolin Ding · Sergey Yekhanin · Joshua Allen · Harsha Nori
Poster
Thu 10:45 SHE: A Fast and Accurate Deep Neural Network for Encrypted Data
Qian Lou · Lei Jiang
Poster
Tue 10:45 Learning low-dimensional state embeddings and metastable clusters from time series data
Yifan Sun · Yaqi Duan · Hao Gong · Mengdi Wang
Poster
Thu 17:00 Making AI Forget You: Data Deletion in Machine Learning
Antonio Ginart · Melody Guan · Gregory Valiant · James Zou
Poster
Wed 10:45 Limits of Private Learning with Access to Public Data
Raef Bassily · Shay Moran · Noga Alon
Poster
Thu 10:45 Zero-shot Knowledge Transfer via Adversarial Belief Matching
Paul Micaelli · Amos Storkey
Poster
Tue 10:45 Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments
Vasilis Syrgkanis · Victor Lei · Miruna Oprescu · Maggie Hei · Keith Battocchi · Greg Lewis
Poster
Wed 17:00 Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition
Satoshi Tsutsui · Yanwei Fu · David Crandall