A Resilient Distributed Boosting Algorithm. - Yuval Filmus; Idan Mehalel; Shay Moran (ICML, 2022)

On Optimal Learning Under Targeted Data Poisoning. - Steve Hanneke; Amin Karbasi; Mohammad Mahmoody; Idan Mehalel; Shay Moran (NeurIPS, 2022)

Optimal Prediction Using Expert Advice and Randomized Littlestone Dimension. - Yuval Filmus; Steve Hanneke; Idan Mehalel; Shay Moran (COLT, 2023)

Multiclass Online Learnability under Bandit Feedback. - Ananth Raman; Vinod Raman; Unique Subedi; Idan Mehalel; Ambuj Tewari (ALT, 2024)

Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs. - Yuval Filmus; Steve Hanneke; Idan Mehalel; Shay Moran (NeurIPS, 2024)

Optimal Sets of Questions for Twenty Questions. - Yuval Filmus; Idan Mehalel (SIAM J. Discret. Math., 2024)

Deterministic Apple Tasting. - Zachary Chase 001; Idan Mehalel (COLT, 2025)

Online Learning of Neural Networks. - Amit Daniely; Idan Mehalel; Elchanan Mossel (CoRR, 2025)