Publications

Conferences

• Agnostic Sample Compression Schemes for Regression (ICML 2024 Spotlight)
  Idan Attias, Steve Hanneke, Aryeh Kontorovich, Menachem Sadigurschi
  arXiv | ICML Page

• Relaxed Models for Adversarial Streaming: The Advice Model and the Bounded Interruptions Model (ESA 2023)
  Menachem Sadigurschi, Uri Stemmer, Moshe Shechner
  arXiv | ESA 2023 Page

• 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

• 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