Author

Mohammadreza M. Kalan

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Preprint Sep 2026

Constrained Nonconvex Stochastic Optimization with One Projection

Constrained nonconvex optimization has seen increasing application in modern machine learning, such as safe LLM alignment/finetuning, transfer learning and rank-constrained continual learning. The commonly used approach is Projected SGD which requires projection at every iteration. However, projection onto a functional...

Yu-Yang Deng, Mohammadreza M. Kalan, Eitan J. Neugut et al. · 0 citations

#machine learning Preprint Sep 2026

Classification with Abstention Under Class-Conditional Error Constraints

This work describes the distribution-free minimax rate of excess abstention risk, up to logarithmic factors, in terms of the complexity of the hypothesis class and the sample size and introduces surrogate-loss formulations to make the framework amenable to computation with models such as neural networks.

Mohammadreza M. Kalan, Yu-Yang Deng, Sanaz Hamidi · 1 citation

Preprint Sep 2026

Minimax optimality for sequential gradient-free minimization of smooth functions and their derivatives

We consider the problem of noisy gradient-free minimization of the k-th order partial derivative of a $\beta$-H{\"o}lder function supported on a d-dimensional cube. We show that T ^{($\beta$+d+k)/(2$\beta$+d)} log(T )^{(\beta-k)/(2\beta+d)} is a non-asymptotic minimax rate of the T step cumulative regret for all $\beta...

Théo Paquier, A. Tsybakov, F. Portier et al. · 0 citations