2 papers
cs.LG2026
Stochastic Linear Bandits with Partially Observed Actions
Gautam Dasarathy, Vineet Gattani, Lalit Jain
The stochastic linear bandit, where actions are represented as vectors and rewards are linear, is a central paradigm for sequential decision making. We study a partially observed v…
cs.LG2024
Nearly Minimax Optimal Submodular Maximization with Bandit Feedback
Artin Tajdini, Lalit Jain, Kevin Jamieson
We consider maximizing an unknown monotonic, submodular set function with cardinality constraint under stochastic bandit feedback. At each time $t=1,…