Author

Anay Mehrotra

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Preprint Aug 2026

Optimal Rates for Learning with Monotone Adversaries

This model shows that adding correctly labeled examples can make learning harder by a logarithmic factor, even for classes that admit finite mistake bounds in online learning.

Anay Mehrotra · 4 citations · ⚡3

Jun 2026

Surprises in Proper Positive-Only Learning

This work revisits and settles the question: a concept class is properly learnable from positive-only samples if and only if it has finite VC dimension and satisfies a new combinatorial condition, which is called uniform exterior separability.

S. Ben-David, Farnam Mansouri, Anay Mehrotra et al. · arXiv.org · 0 citations