Publications

Conferences

• Relaxed Models for Adversarial Streaming: The Advice Model and the Bounded Interruptions Model
  Menachem Sadigurschi, Uri Stemmer, Moshe Shechner
  Arxiv | To appear at ESA2023
• Adaptive Data Analysis with Correlated Observations ICML 2022
  Aryeh Kontorovich, Menachem Sadigurschi, Uri Stemmer
  Arxiv | ICML page | Lecture
• On the Sample Complexity of Privately Learning Axis-Aligned Rectangles NeurIPS 2021
  Menachem Sadigurschi, Uri Stemmer
  Arxiv | NeurIPS page
• Sample Compression for Real-Valued Learners ALT 2019
  Steve Hanneke, Aryeh Kontorovich, Menachem Sadigurschi
  Arxiv | Lecture

Preprints

• Agnostic Sample Compression Schemes for Regression
  Idan Attias, Steve Hanneke, Aryeh Kontorovich, Menachem Sadigurschi
  Arxiv
• Differentially-Private Bayes Consistency
  Olivier Bousquet, Haim Kaplan, Aryeh Kontorovich, Yishay Mansour, Shay Moran, Menachem Sadigurschi, Uri Stemmer
  Arxiv

Thesis - Ph.D.

A Study of Privacy and Compression in Learning Theory

Thesis - M.Sc.

Compression-Schemes for Real-Valued Learners