3 papers
cs.LG2026
Creator Incentives in Recommender Systems: A Cooperative Game-Theoretic Approach for Stable and Fair Collaboration in Multi-Agent Bandits
Ramakrishnan Krishnamurthy, Arpit Agarwal, Lakshminarayanan Subramanian +1
User interactions in online recommendation platforms create interdependencies among content creators: feedback on one creator's content influences the system's learning and, in tur…
cs.LG2021
On Slowly-varying Non-stationary Bandits
Ramakrishnan Krishnamurthy, Aditya Gopalan
We consider minimisation of dynamic regret in non-stationary bandits with a slowly varying property. Namely, we assume that arms' rewards are stochastic and independent over time,…
cs.LG2021
Optimal Algorithms for Range Searching over Multi-Armed Bandits
Siddharth Barman, Ramakrishnan Krishnamurthy, Saladi Rahul
This paper studies a multi-armed bandit (MAB) version of the range-searching problem. In its basic form, range searching considers as input a set of points (on the real line) and a…