Alhad Sethi — accepted AI-conference papers

2026

Asymptotically Optimal Sequential Testing with Markovian Data

Alhad Sethi, SOFIA SAGAR KAVALI, Shubhada Agrawal, Debabrota Basu, P. N. Karthik

ICML 2026poster

We study one-sided and $\alpha$-correct sequential hypothesis testing for data generated by an ergodic Markov chain. The *null* hypothesis is that the unknown transition matrix belongs to a prescribed set $\cal P$ of stochastic matrices, and the *alternative* corresponds to a disjoint set $\cal Q$. …

Cited by 1 Source ↗Scholar ↗

2025

Generalization Bounds for Dependent Data using Online-to-Batch Conversion.

Sagnik Chatterjee, MANUJ MUKHERJEE, Alhad Sethi

AISTATS 2025poster

In this work, we give generalization bounds of statistical learning algorithms trained on samples drawn from a dependent data source both in expectation and with high probability, using the Online-to-Batch conversion paradigm. We show that the generalization error of statistical learners in the depe…

Cited by 0 Source ↗Scholar ↗