Author

Mudit Gaur

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Preprint Nov 2026

Finite-Time Online Sample Complexity for Conditional Diffusion Models

We study the finite-time training and sampling error of conditional diffusion models trained by online stochastic-gradient denoising score matching. Rather than assuming access to an exact empirical or population risk minimizer, we analyze the score network produced after a finite number of stochastic-gradient updates...

Mudit Gaur, Prashant Trivedi, Sasidhar Kunapuli et al. · 0 citations

Jul 2026

Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity

This work proposes a hypergradient-based bilevel RL algorithm using the optimality of the Boltzmann policy for the entropy regularized discounted RL objective function and obtains an iteration complexity of $O(\epsilon^{-1})$ and state-of-the-art sample complexity of $\tilde{O}(\epsilon^{-2})$ under mild regularity con...

Naman Saxena, Mudit Gaur, Vaneet Aggarwal · arXiv.org · 0 citations