Nishant A. Mehta

activity

20102026

most citedMLPACK: A Scalable C++ Machine Learning Library

119 citations · 244 across the 26 of their papers we have counts for

collaborators

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2 papers · 1 filter

cs.LG2025

No-regret incentive-compatible online learning under exact truthfulness with non-myopic experts

Junpei Komiyama, Nishant A. Mehta, Ali Mortazavi

We study an online forecasting setting in which, over $T$ rounds, $N$ strategic experts each report a forecast to a mechanism, the mechanism selects one forecast, and then the outc…

cs.LG2025

Data-dependent Bounds with $T$ -Optimal Best-of-Both-Worlds Guarantees in Multi-Armed Bandits using Stability-Penalty Matching

Quan Nguyen, Shinji Ito, Junpei Komiyama +1

Existing data-dependent and best-of-both-worlds regret bounds for multi-armed bandits problems have limited adaptivity as they are either data-dependent but not best-of-both-worlds…

No-regret incentive-compatible online learning under exact truthfulness with non-myopic experts

Data-dependent Bounds with T-Optimal Best-of-Both-Worlds Guarantees in Multi-Armed Bandits using Stability-Penalty Matching

Data-dependent Bounds with $T$ -Optimal Best-of-Both-Worlds Guarantees in Multi-Armed Bandits using Stability-Penalty Matching